Instructions to use kaesve/BioBERT_patent_reference_extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaesve/BioBERT_patent_reference_extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kaesve/BioBERT_patent_reference_extraction")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kaesve/BioBERT_patent_reference_extraction") model = AutoModelForMaskedLM.from_pretrained("kaesve/BioBERT_patent_reference_extraction") - Notebooks
- Google Colab
- Kaggle
Commit ·
a1e26ee
1
Parent(s): 42fbe43
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 sha256:8bf8a0ee548fcfa6294a4ef6736a57fa1bfba6f426a1bc73d1a41f1b0f2b0e82
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size 433370483
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