Instructions to use EMBO/SourceData_NER_v1_0_0_BioLinkBERT_base 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_base 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_base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("EMBO/SourceData_NER_v1_0_0_BioLinkBERT_base") model = AutoModelForTokenClassification.from_pretrained("EMBO/SourceData_NER_v1_0_0_BioLinkBERT_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8546dd3bba3a42c48b091c70205dfdc2d66daac66b0796dade44e056fd3f44cf
- Size of remote file:
- 5.18 kB
- SHA256:
- 20154fa6036566779824aa4cf7c879da2f1e65202e71c674cbad30361a84a4b7
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