Instructions to use metaboulie/BioLinkBERT-base-c2n2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use metaboulie/BioLinkBERT-base-c2n2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="metaboulie/BioLinkBERT-base-c2n2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("metaboulie/BioLinkBERT-base-c2n2") model = AutoModelForTokenClassification.from_pretrained("metaboulie/BioLinkBERT-base-c2n2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from metaboulie/BioLinkBERT-base-c2n2: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/metaboulie/BioLinkBERT-base-c2n2/resolve/main/training_args.bin
- Command line
-
hf download hf://metaboulie/BioLinkBERT-base-c2n2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/metaboulie/BioLinkBERT-base-c2n2/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- d085cc1d3cc52ec49df51f1496cb856019bddca9b92c5f24f6131687be251880
- Size of remote file:
- 4.86 kB
- SHA256:
- 37da14886153faee74359d3f29b426fe59dc5cfc95147d979a15fd16812d0aba
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