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Sentence_Classification4DesignTutor

Text Classification
Transformers
PyTorch
Safetensors
English
roberta
text-embeddings-inference
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@@ -42,9 +42,9 @@ Or Python API:
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  ```
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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- model = AutoModelForSequenceClassification.from_pretrained("Shenzy/autotrain-sentence_classification-1166943329", use_auth_token=True)
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- tokenizer = AutoTokenizer.from_pretrained("Shenzy/autotrain-sentence_classification-1166943329", use_auth_token=True)
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  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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  ```
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+ model = AutoModelForSequenceClassification.from_pretrained("Shenzy/Sentence_Classification4DesignTutor", use_auth_token=True)
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+ tokenizer = AutoTokenizer.from_pretrained("Shenzy/Sentence_Classification4DesignTutor", use_auth_token=True)
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  inputs = tokenizer("I love AutoTrain", return_tensors="pt")
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