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 model.safetensors from EMBO/SourceData_NER_v1_0_0_BioLinkBERT_large: direct link, hf CLI and curl.
- Browser
- Download file 1.33 GB
-
https://huggingface.co/EMBO/SourceData_NER_v1_0_0_BioLinkBERT_large/resolve/main/model.safetensors
- Command line
-
hf download hf://EMBO/SourceData_NER_v1_0_0_BioLinkBERT_large/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/EMBO/SourceData_NER_v1_0_0_BioLinkBERT_large/resolve/main/model.safetensors
1.33 GB
- Xet hash:
- f952fb177ce3cf73cef29a02c7de20ae465c4723711ed0006097c285a0f96fee
- Size of remote file:
- 1.33 GB
- SHA256:
- 77675806e90267fb55c6bed7883716aa8067fbb4b48f83216de4b9df94466710
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