Instructions to use AmirErez/BBERT-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmirErez/BBERT-models with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AmirErez/BBERT-models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Fix tokenizer_config.json: use PreTrainedTokenizerFast (bbert_768H_epoch100)
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Fix tokenizer_config.json: use PreTrainedTokenizerFast (bbert_384H_epoch200)
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Add 768H coding classifier (best_model, freeze2)
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Add 768H frame classifier (best_model, freeze2 ep200)
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Add 768H bacterial classifier (best_model, epoch 100 freeze2)
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Add 768H BBERT backbone (epoch 100, freeze2)
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Add 384H coding classifier (best_model, unfrozen)
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Add 384H frame classifier (best_model, unfrozen ep200)
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Add 384H bacterial classifier (best_model, epoch 200 unfrozen)
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Add 384H BBERT backbone (epoch 200, unfrozen)
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Upload folder using huggingface_hub
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initial commit
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