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Resume_Sentence_Classification

Text Classification
Transformers
PyTorch
distilbert
fine-tuning
resume classification
text-embeddings-inference
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Update README.md

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README.md CHANGED
@@ -29,7 +29,7 @@ To use the model and tokenizer, you can load them from the Hugging Face Hub as f
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  from transformers import DistilBertTokenizerFast, DistilBertForSequenceClassification
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  # Load the model and tokenizer
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- model_name = "your-username/your-model-name"
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  tokenizer = DistilBertTokenizerFast.from_pretrained(model_name)
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  model = DistilBertForSequenceClassification.from_pretrained(model_name)
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  from transformers import DistilBertTokenizerFast, DistilBertForSequenceClassification
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  # Load the model and tokenizer
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+ model_name = "oussama120/Resume_Sentence_Classification"
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  tokenizer = DistilBertTokenizerFast.from_pretrained(model_name)
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  model = DistilBertForSequenceClassification.from_pretrained(model_name)
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