first commit

Author: hfhoffman1144

huggingface-transformers/auto_classes.py

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+import torch
+from transformers import (
+    AutoTokenizer,
+    AutoModelForSequenceClassification,
+    pipeline,
+)
+
+model_name = "cardiffnlp/twitter-roberta-base-sentiment-latest"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+
+text = "I love using the Transformers library!"
+encoded_input = tokenizer(text, return_tensors="pt")
+
+with torch.no_grad():
+    output = model(**encoded_input)
+
+scores = output.logits[0]
+probabilities = torch.softmax(scores, dim=0)
+predicted_class = probabilities.argmax().item()
+
+print(f"Predicted class: {predicted_class}")
+print(f"Probabilities: {probabilities.tolist()}")
+
+full_pipeline = pipeline(model=model_name)
+print(full_pipeline(text))