Instructions to use ArielLubonja/biobert-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArielLubonja/biobert-embeddings with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ArielLubonja/biobert-embeddings", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ArielLubonja/biobert-embeddings: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/ArielLubonja/biobert-embeddings/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ArielLubonja/biobert-embeddings/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ArielLubonja/biobert-embeddings/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- 729c30ce5ac0dd5153fc2158eaeef0eac0a8af7f139d326d2168366ffc2f9150
- Size of remote file:
- 436 MB
- SHA256:
- 7f83adaa3f382779cc7e60bb43344d0681e8bf12d0bb986bd97f7b07eb56114b
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