Instructions to use peril10/Pypinion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peril10/Pypinion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peril10/Pypinion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("peril10/Pypinion") model = AutoModelForSequenceClassification.from_pretrained("peril10/Pypinion") - Notebooks
- Google Colab
- Kaggle
Update eval_results.txt
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eval_results.txt
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acc = 0.9108187134502924
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eval_loss = 0.33342155571593796
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f1 = 0.917900403768506
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fn = 26
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fp = 35
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mcc = 0.8206201172311524
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precision = 0.9069148936170213
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recall = 0.9291553133514986
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roc_auc = 0.9093726093571374
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tn = 282
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tp = 341
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