Instructions to use dmis-lab/biosyn-biobert-bc2gn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmis-lab/biosyn-biobert-bc2gn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dmis-lab/biosyn-biobert-bc2gn")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dmis-lab/biosyn-biobert-bc2gn") model = AutoModel.from_pretrained("dmis-lab/biosyn-biobert-bc2gn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from dmis-lab/biosyn-biobert-bc2gn: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/dmis-lab/biosyn-biobert-bc2gn/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://dmis-lab/biosyn-biobert-bc2gn/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dmis-lab/biosyn-biobert-bc2gn/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- f8d78c2fa37db106bd92c5edef0de79d88613b257efab494e40c5d7be78702d6
- Size of remote file:
- 433 MB
- SHA256:
- 27cf9a318c6b0ca725971dcaf15861f4816132a8e37573094b40f1d11cd1c6cc
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