Instructions to use EMBO/SourceData_NER_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_NER_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_NER_v1_0_0_BioLinkBERT_large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EMBO/SourceData_NER_v1_0_0_BioLinkBERT_large") model = AutoModelForTokenClassification.from_pretrained("EMBO/SourceData_NER_v1_0_0_BioLinkBERT_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from EMBO/SourceData_NER_v1_0_0_BioLinkBERT_large: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/EMBO/SourceData_NER_v1_0_0_BioLinkBERT_large/resolve/main/training_args.bin
- Command line
-
hf download hf://EMBO/SourceData_NER_v1_0_0_BioLinkBERT_large/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/EMBO/SourceData_NER_v1_0_0_BioLinkBERT_large/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 611411263c4af008a5c0ff055638265df3bc61960636259e02ccda12701e85af
- Size of remote file:
- 5.18 kB
- SHA256:
- 1790ce5fe09a0de2a916598dda708271ac3de363bda5b6a2c5cd43add2aa6384
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