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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from kaesve/BioBERT_patent_reference_extraction: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/kaesve/BioBERT_patent_reference_extraction/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://kaesve/BioBERT_patent_reference_extraction/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/kaesve/BioBERT_patent_reference_extraction/resolve/main/flax_model.msgpack
433 MB
- Xet hash:
- 5e8c7ab71a233ba54c2288ceb62c52ca6c3f12b3e7ac80ee23ca88e9621abf00
- Size of remote file:
- 433 MB
- SHA256:
- 8bf8a0ee548fcfa6294a4ef6736a57fa1bfba6f426a1bc73d1a41f1b0f2b0e82
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