Update README.md
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README.md
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@@ -7,7 +7,7 @@ tags:
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- imdb
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- tinybert
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datasets:
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model_type: bert
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base_model: prajjwal1/bert-tiny
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fine_tuned_by: Jack Mander
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@@ -126,5 +126,4 @@ This project was completed to explore the effectiveness of parameter-efficient f
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inputs = tokenizer("I loved the movie!", return_tensors="pt", padding=True, truncation=True)
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outputs = model(**inputs)
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prediction = torch.argmax(outputs.logits, dim=-1)
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print("Prediction:", "Positive" if prediction == 1 else "Negative")
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- imdb
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- tinybert
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datasets:
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- jamander/Blockbuster
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model_type: bert
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base_model: prajjwal1/bert-tiny
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fine_tuned_by: Jack Mander
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inputs = tokenizer("I loved the movie!", return_tensors="pt", padding=True, truncation=True)
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outputs = model(**inputs)
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prediction = torch.argmax(outputs.logits, dim=-1)
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print("Prediction:", "Positive" if prediction == 1 else "Negative")
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