Instructions to use peeyush01/albert-paraphrase-detector-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peeyush01/albert-paraphrase-detector-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("peeyush01/albert-paraphrase-detector-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -79,7 +79,7 @@ def predict_paraphrase(sentence1, sentence2):
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outputs = model(**inputs)
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logits = outputs.logits
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probs = torch.softmax(logits, dim=1)
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paraphrase_prob = probs[0][1].item()
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return {"Paraphrase": paraphrase_prob, "Not Paraphrase": 1 - paraphrase_prob}
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```
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outputs = model(**inputs)
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logits = outputs.logits
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probs = torch.softmax(logits, dim=1)
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paraphrase_prob = probs[0][1].item()
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return {"Paraphrase": paraphrase_prob, "Not Paraphrase": 1 - paraphrase_prob}
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```
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