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Update README.md

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  1. README.md +2 -3
README.md CHANGED
@@ -7,7 +7,7 @@ tags:
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  - imdb
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  - tinybert
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  datasets:
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- - imdb
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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
@@ -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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-
 
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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")