Instructions to use EMBO/SourceData_SmallmolRoles_v1_0_0_BioLinkBERT_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EMBO/SourceData_SmallmolRoles_v1_0_0_BioLinkBERT_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="EMBO/SourceData_SmallmolRoles_v1_0_0_BioLinkBERT_large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EMBO/SourceData_SmallmolRoles_v1_0_0_BioLinkBERT_large") model = AutoModelForTokenClassification.from_pretrained("EMBO/SourceData_SmallmolRoles_v1_0_0_BioLinkBERT_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from EMBO/SourceData_SmallmolRoles_v1_0_0_BioLinkBERT_large: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/EMBO/SourceData_SmallmolRoles_v1_0_0_BioLinkBERT_large/resolve/main/training_args.bin
- Command line
-
hf download hf://EMBO/SourceData_SmallmolRoles_v1_0_0_BioLinkBERT_large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/EMBO/SourceData_SmallmolRoles_v1_0_0_BioLinkBERT_large/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 2b4c1f6ccc50e81a5c831ee86761f65709d4ee40476ff63cb7c985399140be44
- Size of remote file:
- 5.24 kB
- SHA256:
- 422fe0a3a0d34ad196eda650193a3196ae8aec7fd824046346a98ebf6563c501
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