diff --git a/docs/inference-providers/providers/fireworks-ai.md b/docs/inference-providers/providers/fireworks-ai.md
index 00a51e819..458b4a795 100644
--- a/docs/inference-providers/providers/fireworks-ai.md
+++ b/docs/inference-providers/providers/fireworks-ai.md
@@ -49,7 +49,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"fireworks-ai":{"modelId":"openai/gpt-oss-120b","providerModelId":"accounts/fireworks/models/gpt-oss-120b"} } }
+    providersMapping={ {"fireworks-ai":{"modelId":"openai/gpt-oss-20b","providerModelId":"accounts/fireworks/models/gpt-oss-20b"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/groq.md b/docs/inference-providers/providers/groq.md
index 72f2118bd..f8b9f26f2 100644
--- a/docs/inference-providers/providers/groq.md
+++ b/docs/inference-providers/providers/groq.md
@@ -60,7 +60,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"} } }
+    providersMapping={ {"groq":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/hf-inference.md b/docs/inference-providers/providers/hf-inference.md
index 4a84137b1..9e99ce247 100644
--- a/docs/inference-providers/providers/hf-inference.md
+++ b/docs/inference-providers/providers/hf-inference.md
@@ -57,6 +57,16 @@ Find out more about Automatic Speech Recognition [here](../tasks/automatic_speec
 />
 
 
+### Chat Completion (LLM)
+
+Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
+
+<InferenceSnippet
+    pipeline=text-generation
+    providersMapping={ {"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"} } }
+conversational />
+
+
 ### Feature Extraction
 
 Find out more about Feature Extraction [here](../tasks/feature_extraction).
@@ -83,7 +93,7 @@ Find out more about Image Classification [here](../tasks/image_classification).
 
 <InferenceSnippet
     pipeline=image-classification
-    providersMapping={ {"hf-inference":{"modelId":"dima806/fairface_age_image_detection","providerModelId":"dima806/fairface_age_image_detection"} } }
+    providersMapping={ {"hf-inference":{"modelId":"Falconsai/nsfw_image_detection","providerModelId":"Falconsai/nsfw_image_detection"} } }
 />
 
 
@@ -93,7 +103,7 @@ Find out more about Image Segmentation [here](../tasks/image_segmentation).
 
 <InferenceSnippet
     pipeline=image-segmentation
-    providersMapping={ {"hf-inference":{"modelId":"facebook/mask2former-swin-small-ade-semantic","providerModelId":"facebook/mask2former-swin-small-ade-semantic"} } }
+    providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"} } }
 />
 
 
@@ -143,7 +153,17 @@ Find out more about Text Classification [here](../tasks/text_classification).
 
 <InferenceSnippet
     pipeline=text-classification
-    providersMapping={ {"hf-inference":{"modelId":"distilbert/distilbert-base-uncased-finetuned-sst-2-english","providerModelId":"distilbert/distilbert-base-uncased-finetuned-sst-2-english"} } }
+    providersMapping={ {"hf-inference":{"modelId":"ProsusAI/finbert","providerModelId":"ProsusAI/finbert"} } }
+/>
+
+
+### Text Generation
+
+Find out more about Text Generation [here](../tasks/text_generation).
+
+<InferenceSnippet
+    pipeline=text-generation
+    providersMapping={ {"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"} } }
 />
 
 
@@ -163,7 +183,7 @@ Find out more about Token Classification [here](../tasks/token_classification).
 
 <InferenceSnippet
     pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank","providerModelId":"microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank"} } }
+    providersMapping={ {"hf-inference":{"modelId":"iiiorg/piiranha-v1-detect-personal-information","providerModelId":"iiiorg/piiranha-v1-detect-personal-information"} } }
 />
 
 
@@ -173,7 +193,7 @@ Find out more about Translation [here](../tasks/translation).
 
 <InferenceSnippet
     pipeline=translation
-    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-base","providerModelId":"google-t5/t5-base"} } }
+    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-small","providerModelId":"google-t5/t5-small"} } }
 />
 
 
@@ -183,6 +203,6 @@ Find out more about Zero Shot Classification [here](../tasks/zero_shot_classific
 
 <InferenceSnippet
     pipeline=zero-shot-classification
-    providersMapping={ {"hf-inference":{"modelId":"joeddav/xlm-roberta-large-xnli","providerModelId":"joeddav/xlm-roberta-large-xnli"} } }
+    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"} } }
 />
 
diff --git a/docs/inference-providers/providers/hyperbolic.md b/docs/inference-providers/providers/hyperbolic.md
index 600236cdb..2bb3ec735 100644
--- a/docs/inference-providers/providers/hyperbolic.md
+++ b/docs/inference-providers/providers/hyperbolic.md
@@ -88,7 +88,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"hyperbolic":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"} } }
+    providersMapping={ {"hyperbolic":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/novita.md b/docs/inference-providers/providers/novita.md
index b41ad8012..c739af84e 100644
--- a/docs/inference-providers/providers/novita.md
+++ b/docs/inference-providers/providers/novita.md
@@ -52,7 +52,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"novita":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"} } }
+    providersMapping={ {"novita":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/nscale.md b/docs/inference-providers/providers/nscale.md
index cc01fc7b8..f84d741cb 100644
--- a/docs/inference-providers/providers/nscale.md
+++ b/docs/inference-providers/providers/nscale.md
@@ -52,7 +52,7 @@ Find out more about Chat Completion (LLM) [here](../tasks/chat-completion).
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"nscale":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"} } }
+    providersMapping={ {"nscale":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"} } }
 conversational />
 
 
diff --git a/docs/inference-providers/providers/replicate.md b/docs/inference-providers/providers/replicate.md
index a53f94ce9..6487d1fd7 100644
--- a/docs/inference-providers/providers/replicate.md
+++ b/docs/inference-providers/providers/replicate.md
@@ -70,6 +70,6 @@ Find out more about Text To Video [here](../tasks/text_to_video).
 
 <InferenceSnippet
     pipeline=text-to-video
-    providersMapping={ {"replicate":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"wan-video/wan-2.2-t2v-fast"} } }
+    providersMapping={ {"replicate":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"wan-video/wan-2.2-5b-fast"} } }
 />
 
diff --git a/docs/inference-providers/tasks/chat-completion.md b/docs/inference-providers/tasks/chat-completion.md
index 154d6c18a..d946d0ec4 100644
--- a/docs/inference-providers/tasks/chat-completion.md
+++ b/docs/inference-providers/tasks/chat-completion.md
@@ -64,7 +64,7 @@ The API supports:
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/command-a-reasoning-08-2025","providerModelId":"command-a-reasoning-08-2025"},"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"},"fireworks-ai":{"modelId":"openai/gpt-oss-120b","providerModelId":"accounts/fireworks/models/gpt-oss-120b"},"groq":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"hyperbolic":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"nebius":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"novita":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"nscale":{"modelId":"openai/gpt-oss-120b","providerModelId":"openai/gpt-oss-120b"},"sambanova":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"Meta-Llama-3.1-8B-Instruct"},"together":{"modelId":"openai/gpt-oss-20b","providerModelId":"OpenAI/gpt-oss-20B"}} }
+    providersMapping={ {"cerebras":{"modelId":"openai/gpt-oss-120b","providerModelId":"gpt-oss-120b"},"cohere":{"modelId":"CohereLabs/command-a-reasoning-08-2025","providerModelId":"command-a-reasoning-08-2025"},"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"},"fireworks-ai":{"modelId":"openai/gpt-oss-20b","providerModelId":"accounts/fireworks/models/gpt-oss-20b"},"groq":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"},"hyperbolic":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"nebius":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"novita":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"nscale":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"sambanova":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"Meta-Llama-3.1-8B-Instruct"},"together":{"modelId":"openai/gpt-oss-20b","providerModelId":"OpenAI/gpt-oss-20B"}} }
 conversational />
 
 
diff --git a/docs/inference-providers/tasks/fill-mask.md b/docs/inference-providers/tasks/fill-mask.md
index 33344e16b..d527ce0df 100644
--- a/docs/inference-providers/tasks/fill-mask.md
+++ b/docs/inference-providers/tasks/fill-mask.md
@@ -24,6 +24,7 @@ For more details about the `fill-mask` task, check out its [dedicated page](http
 
 ### Recommended models
 
+- [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base): A multilingual model trained on 100 languages.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=fill-mask&sort=trending).
 
diff --git a/docs/inference-providers/tasks/image-classification.md b/docs/inference-providers/tasks/image-classification.md
index 01799686e..cc68b01fd 100644
--- a/docs/inference-providers/tasks/image-classification.md
+++ b/docs/inference-providers/tasks/image-classification.md
@@ -24,6 +24,7 @@ For more details about the `image-classification` task, check out its [dedicated
 
 ### Recommended models
 
+- [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224): A strong image classification model.
 - [facebook/deit-base-distilled-patch16-224](https://huggingface.co/facebook/deit-base-distilled-patch16-224): A robust image classification model.
 - [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224): A strong image classification model.
 
@@ -34,7 +35,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-classification
-    providersMapping={ {"hf-inference":{"modelId":"dima806/fairface_age_image_detection","providerModelId":"dima806/fairface_age_image_detection"}} }
+    providersMapping={ {"hf-inference":{"modelId":"Falconsai/nsfw_image_detection","providerModelId":"Falconsai/nsfw_image_detection"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/image-segmentation.md b/docs/inference-providers/tasks/image-segmentation.md
index 9dd683387..1ceca0e68 100644
--- a/docs/inference-providers/tasks/image-segmentation.md
+++ b/docs/inference-providers/tasks/image-segmentation.md
@@ -24,6 +24,7 @@ For more details about the `image-segmentation` task, check out its [dedicated p
 
 ### Recommended models
 
+- [facebook/mask2former-swin-large-coco-panoptic](https://huggingface.co/facebook/mask2former-swin-large-coco-panoptic): Panoptic segmentation model trained on the COCO (common objects) dataset.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=image-segmentation&sort=trending).
 
@@ -32,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=image-segmentation
-    providersMapping={ {"hf-inference":{"modelId":"facebook/mask2former-swin-small-ade-semantic","providerModelId":"facebook/mask2former-swin-small-ade-semantic"}} }
+    providersMapping={ {"hf-inference":{"modelId":"mattmdjaga/segformer_b2_clothes","providerModelId":"mattmdjaga/segformer_b2_clothes"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/question-answering.md b/docs/inference-providers/tasks/question-answering.md
index 220b9cfbf..2f1330014 100644
--- a/docs/inference-providers/tasks/question-answering.md
+++ b/docs/inference-providers/tasks/question-answering.md
@@ -25,6 +25,7 @@ For more details about the `question-answering` task, check out its [dedicated p
 ### Recommended models
 
 - [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2): A robust baseline model for most question answering domains.
+- [distilbert/distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert/distilbert-base-cased-distilled-squad): Small yet robust model that can answer questions.
 - [google/tapas-base-finetuned-wtq](https://huggingface.co/google/tapas-base-finetuned-wtq): A special model that can answer questions from tables.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=question-answering&sort=trending).
diff --git a/docs/inference-providers/tasks/summarization.md b/docs/inference-providers/tasks/summarization.md
index 6e0ff5ead..6d3994406 100644
--- a/docs/inference-providers/tasks/summarization.md
+++ b/docs/inference-providers/tasks/summarization.md
@@ -25,6 +25,7 @@ For more details about the `summarization` task, check out its [dedicated page](
 ### Recommended models
 
 - [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn): A strong summarization model trained on English news articles. Excels at generating factual summaries.
+- [Falconsai/medical_summarization](https://huggingface.co/Falconsai/medical_summarization): A summarization model trained on medical articles.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=summarization&sort=trending).
 
diff --git a/docs/inference-providers/tasks/text-classification.md b/docs/inference-providers/tasks/text-classification.md
index 6ecaefc66..1202d5f48 100644
--- a/docs/inference-providers/tasks/text-classification.md
+++ b/docs/inference-providers/tasks/text-classification.md
@@ -25,6 +25,7 @@ For more details about the `text-classification` task, check out its [dedicated
 ### Recommended models
 
 - [distilbert/distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english): A robust model trained for sentiment analysis.
+- [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert): A sentiment analysis model specialized in financial sentiment.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=text-classification&sort=trending).
 
@@ -33,7 +34,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-classification
-    providersMapping={ {"hf-inference":{"modelId":"distilbert/distilbert-base-uncased-finetuned-sst-2-english","providerModelId":"distilbert/distilbert-base-uncased-finetuned-sst-2-english"}} }
+    providersMapping={ {"hf-inference":{"modelId":"ProsusAI/finbert","providerModelId":"ProsusAI/finbert"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/text-generation.md b/docs/inference-providers/tasks/text-generation.md
index e45ad84fc..64d9c48ab 100644
--- a/docs/inference-providers/tasks/text-generation.md
+++ b/docs/inference-providers/tasks/text-generation.md
@@ -42,7 +42,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-generation
-    providersMapping={ {"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"},"nebius":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"together":{"modelId":"openai/gpt-oss-20b","providerModelId":"OpenAI/gpt-oss-20B"}} }
+    providersMapping={ {"featherless-ai":{"modelId":"meta-llama/Llama-3.1-8B-Instruct","providerModelId":"meta-llama/Meta-Llama-3.1-8B-Instruct"},"hf-inference":{"modelId":"HuggingFaceTB/SmolLM3-3B","providerModelId":"HuggingFaceTB/SmolLM3-3B"},"nebius":{"modelId":"openai/gpt-oss-20b","providerModelId":"openai/gpt-oss-20b"},"together":{"modelId":"openai/gpt-oss-20b","providerModelId":"OpenAI/gpt-oss-20B"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/text-to-video.md b/docs/inference-providers/tasks/text-to-video.md
index c80c0324b..9d8625958 100644
--- a/docs/inference-providers/tasks/text-to-video.md
+++ b/docs/inference-providers/tasks/text-to-video.md
@@ -35,7 +35,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=text-to-video
-    providersMapping={ {"fal-ai":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"fal-ai/wan/v2.2-a14b/text-to-video"},"novita":{"modelId":"Wan-AI/Wan2.1-T2V-14B","providerModelId":"wan-t2v"},"replicate":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"wan-video/wan-2.2-t2v-fast"}} }
+    providersMapping={ {"fal-ai":{"modelId":"Wan-AI/Wan2.2-T2V-A14B","providerModelId":"fal-ai/wan/v2.2-a14b/text-to-video"},"novita":{"modelId":"Wan-AI/Wan2.1-T2V-14B","providerModelId":"wan-t2v"},"replicate":{"modelId":"Wan-AI/Wan2.2-TI2V-5B","providerModelId":"wan-video/wan-2.2-5b-fast"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/token-classification.md b/docs/inference-providers/tasks/token-classification.md
index d0b614942..dc5df09f2 100644
--- a/docs/inference-providers/tasks/token-classification.md
+++ b/docs/inference-providers/tasks/token-classification.md
@@ -24,6 +24,9 @@ For more details about the `token-classification` task, check out its [dedicated
 
 ### Recommended models
 
+- [dslim/bert-base-NER](https://huggingface.co/dslim/bert-base-NER): A robust performance model to identify people, locations, organizations and names of miscellaneous entities.
+- [FacebookAI/xlm-roberta-large-finetuned-conll03-english](https://huggingface.co/FacebookAI/xlm-roberta-large-finetuned-conll03-english): A strong model to identify people, locations, organizations and names in multiple languages.
+- [blaze999/Medical-NER](https://huggingface.co/blaze999/Medical-NER): A token classification model specialized on medical entity recognition.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=token-classification&sort=trending).
 
@@ -32,7 +35,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=token-classification
-    providersMapping={ {"hf-inference":{"modelId":"microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank","providerModelId":"microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank"}} }
+    providersMapping={ {"hf-inference":{"modelId":"iiiorg/piiranha-v1-detect-personal-information","providerModelId":"iiiorg/piiranha-v1-detect-personal-information"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/translation.md b/docs/inference-providers/tasks/translation.md
index 86a7ac19e..5aa8b1c61 100644
--- a/docs/inference-providers/tasks/translation.md
+++ b/docs/inference-providers/tasks/translation.md
@@ -33,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=translation
-    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-base","providerModelId":"google-t5/t5-base"}} }
+    providersMapping={ {"hf-inference":{"modelId":"google-t5/t5-small","providerModelId":"google-t5/t5-small"}} }
 />
 
 
diff --git a/docs/inference-providers/tasks/zero-shot-classification.md b/docs/inference-providers/tasks/zero-shot-classification.md
index c99069be0..1c57edfb9 100644
--- a/docs/inference-providers/tasks/zero-shot-classification.md
+++ b/docs/inference-providers/tasks/zero-shot-classification.md
@@ -24,6 +24,7 @@ For more details about the `zero-shot-classification` task, check out its [dedic
 
 ### Recommended models
 
+- [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli): Powerful zero-shot text classification model.
 
 Explore all available models and find the one that suits you best [here](https://huggingface.co/models?inference=warm&pipeline_tag=zero-shot-classification&sort=trending).
 
@@ -32,7 +33,7 @@ Explore all available models and find the one that suits you best [here](https:/
 
 <InferenceSnippet
     pipeline=zero-shot-classification
-    providersMapping={ {"hf-inference":{"modelId":"joeddav/xlm-roberta-large-xnli","providerModelId":"joeddav/xlm-roberta-large-xnli"}} }
+    providersMapping={ {"hf-inference":{"modelId":"facebook/bart-large-mnli","providerModelId":"facebook/bart-large-mnli"}} }
 />