Instructions to use dmis-lab/biobert-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmis-lab/biobert-v1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dmis-lab/biobert-v1.1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biobert-v1.1") model = AutoModel.from_pretrained("dmis-lab/biobert-v1.1") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
551ca18
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Parent(s): 2bf1dbf
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:a9d5321cba59a777561395e7794d404088d9c494bd906c40c3aaedec4f88ccb9
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size 433248237
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