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‎docs/api-inference/tasks/feature-extraction.md‎

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@@ -50,7 +50,7 @@ client = InferenceClient(
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result = client.feature_extraction(
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inputs="Today is a sunny day and I will get some ice cream.",
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model="mixedbread-ai/mxbai-embed-large-v1",
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model="intfloat/multilingual-e5-large-instruct",
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)
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```
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```python
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import requests
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API_URL = "https://router.huggingface.co/hf-inference/pipeline/feature-extraction/mixedbread-ai/mxbai-embed-large-v1"
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API_URL = "https://router.huggingface.co/hf-inference/pipeline/feature-extraction/intfloat/multilingual-e5-large-instruct"
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headers = {"Authorization": "Bearer hf_***"}
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def query(payload):
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```js
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async function query(data) {
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const response = await fetch(
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"https://router.huggingface.co/hf-inference/pipeline/feature-extraction/mixedbread-ai/mxbai-embed-large-v1",
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"https://router.huggingface.co/hf-inference/pipeline/feature-extraction/intfloat/multilingual-e5-large-instruct",
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{
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headers: {
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Authorization: "Bearer hf_***",
@@ -113,7 +113,7 @@ import { InferenceClient } from "@huggingface/inference";
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const client = new InferenceClient("hf_***");
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const output = await client.featureExtraction({
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model: "mixedbread-ai/mxbai-embed-large-v1",
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model: "intfloat/multilingual-e5-large-instruct",
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inputs: "Today is a sunny day and I will get some ice cream.",
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provider: "hf-inference",
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});
@@ -128,7 +128,7 @@ To use the JavaScript `InferenceClient`, see `huggingface.js`'s [package referen
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<snippet provider="hf-inference" language="sh" client="curl">
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```sh
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curl https://router.huggingface.co/hf-inference/pipeline/feature-extraction/mixedbread-ai/mxbai-embed-large-v1 \
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curl https://router.huggingface.co/hf-inference/pipeline/feature-extraction/intfloat/multilingual-e5-large-instruct \
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-X POST \
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-H 'Authorization: Bearer hf_***' \
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-H 'Content-Type: application/json' \

‎docs/api-inference/tasks/fill-mask.md‎

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@@ -30,7 +30,112 @@ Explore all available models and find the one that suits you best [here](https:/
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### Using the API
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No snippet available for this task.
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<inferencesnippet>
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<snippet provider="hf-inference" language="python" client="huggingface_hub">
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```python
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from huggingface_hub import InferenceClient
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client = InferenceClient(
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provider="hf-inference",
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api_key="hf_***",
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)
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result = client.fill_mask(
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inputs="The answer to the universe is [MASK].",
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model="google-bert/bert-base-multilingual-cased",
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)
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```
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</snippet>
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To use the Python `InferenceClient`, see the [package reference](https://huggingface.co/docs/huggingface_hub/package_reference/inference_client#huggingface_hub.InferenceClient.).
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<snippet provider="hf-inference" language="python" client="requests">
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```python
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import requests
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API_URL = "https://router.huggingface.co/hf-inference/models/google-bert/bert-base-multilingual-cased"
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headers = {"Authorization": "Bearer hf_***"}
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def query(payload):
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.json()
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output = query({
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"inputs": "The answer to the universe is [MASK].",
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})
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```
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</snippet>
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<snippet provider="hf-inference" language="js" client="fetch">
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```js
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async function query(data) {
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const response = await fetch(
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"https://router.huggingface.co/hf-inference/models/google-bert/bert-base-multilingual-cased",
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{
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headers: {
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Authorization: "Bearer hf_***",
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"Content-Type": "application/json",
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},
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method: "POST",
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body: JSON.stringify(data),
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}
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);
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const result = await response.json();
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return result;
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}
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query({ inputs: "The answer to the universe is [MASK]." }).then((response) => {
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console.log(JSON.stringify(response));
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});
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```
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</snippet>
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<snippet provider="hf-inference" language="js" client="huggingface.js">
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```js
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import { InferenceClient } from "@huggingface/inference";
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const client = new InferenceClient("hf_***");
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const output = await client.fillMask({
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model: "google-bert/bert-base-multilingual-cased",
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inputs: "The answer to the universe is [MASK].",
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provider: "hf-inference",
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});
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console.log(output);
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```
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</snippet>
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To use the JavaScript `InferenceClient`, see `huggingface.js`'s [package reference](https://huggingface.co/docs/huggingface.js/inference/classes/InferenceClient#).
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<snippet provider="hf-inference" language="sh" client="curl">
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```sh
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curl https://router.huggingface.co/hf-inference/models/google-bert/bert-base-multilingual-cased \
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-X POST \
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-H 'Authorization: Bearer hf_***' \
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-H 'Content-Type: application/json' \
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-d '{
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"inputs": "\"The answer to the universe is [MASK].\""
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}'
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```
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</snippet>
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</inferencesnippet>
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‎docs/api-inference/tasks/token-classification.md‎

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@@ -45,7 +45,7 @@ client = InferenceClient(
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result = client.token_classification(
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inputs="My name is Sarah Jessica Parker but you can call me Jessica",
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model="FacebookAI/xlm-roberta-large-finetuned-conll03-english",
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model="dslim/bert-base-NER",
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)
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```
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```python
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import requests
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API_URL = "https://router.huggingface.co/hf-inference/models/FacebookAI/xlm-roberta-large-finetuned-conll03-english"
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API_URL = "https://router.huggingface.co/hf-inference/models/dslim/bert-base-NER"
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headers = {"Authorization": "Bearer hf_***"}
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def query(payload):
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```js
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async function query(data) {
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const response = await fetch(
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"https://router.huggingface.co/hf-inference/models/FacebookAI/xlm-roberta-large-finetuned-conll03-english",
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"https://router.huggingface.co/hf-inference/models/dslim/bert-base-NER",
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{
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headers: {
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Authorization: "Bearer hf_***",
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const client = new InferenceClient("hf_***");
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const output = await client.tokenClassification({
111-
model: "FacebookAI/xlm-roberta-large-finetuned-conll03-english",
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model: "dslim/bert-base-NER",
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inputs: "My name is Sarah Jessica Parker but you can call me Jessica",
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provider: "hf-inference",
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});
@@ -123,7 +123,7 @@ To use the JavaScript `InferenceClient`, see `huggingface.js`'s [package referen
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<snippet provider="hf-inference" language="sh" client="curl">
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```sh
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curl https://router.huggingface.co/hf-inference/models/FacebookAI/xlm-roberta-large-finetuned-conll03-english \
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curl https://router.huggingface.co/hf-inference/models/dslim/bert-base-NER \
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-X POST \
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-H 'Authorization: Bearer hf_***' \
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-H 'Content-Type: application/json' \

‎docs/api-inference/tasks/translation.md‎

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result = client.translation(
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inputs="Меня зовут Вольфганг и я живу в Берлине",
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model="facebook/mbart-large-50-many-to-many-mmt",
48+
model="facebook/nllb-200-distilled-600M",
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)
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```
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```python
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import requests
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API_URL = "https://router.huggingface.co/hf-inference/models/facebook/mbart-large-50-many-to-many-mmt"
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API_URL = "https://router.huggingface.co/hf-inference/models/facebook/nllb-200-distilled-600M"
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headers = {"Authorization": "Bearer hf_***"}
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def query(payload):
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```js
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async function query(data) {
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const response = await fetch(
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"https://router.huggingface.co/hf-inference/models/facebook/mbart-large-50-many-to-many-mmt",
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"https://router.huggingface.co/hf-inference/models/facebook/nllb-200-distilled-600M",
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{
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headers: {
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Authorization: "Bearer hf_***",
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const client = new InferenceClient("hf_***");
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110110
const output = await client.translation({
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model: "facebook/mbart-large-50-many-to-many-mmt",
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model: "facebook/nllb-200-distilled-600M",
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inputs: "Меня зовут Вольфганг и я живу в Берлине",
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provider: "hf-inference",
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});
@@ -123,7 +123,7 @@ To use the JavaScript `InferenceClient`, see `huggingface.js`'s [package referen
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<snippet provider="hf-inference" language="sh" client="curl">
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```sh
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curl https://router.huggingface.co/hf-inference/models/facebook/mbart-large-50-many-to-many-mmt \
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curl https://router.huggingface.co/hf-inference/models/facebook/nllb-200-distilled-600M \
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-X POST \
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-H 'Authorization: Bearer hf_***' \
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-H 'Content-Type: application/json' \

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