Instructions to use zhaoyang/BertFinetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhaoyang/BertFinetuning with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zhaoyang/BertFinetuning", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- .gitattributes +1 -0
- model.safetensors +3 -0
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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training_args.bin filter=lfs diff=lfs merge=lfs -text
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config.json filter=lfs diff=lfs merge=lfs -text
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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training_args.bin filter=lfs diff=lfs merge=lfs -text
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e13324aa6e8d7a574ab873199ef0785f8b0f53050be6b31517138a38b08408c1
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size 437962832
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