Instructions to use HMHMlee/BioLinkBERT-base-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HMHMlee/BioLinkBERT-base-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HMHMlee/BioLinkBERT-base-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HMHMlee/BioLinkBERT-base-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("HMHMlee/BioLinkBERT-base-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 07006266a1a0d7e989e6915e55e97e6fa6e2531675d60fc6a99db8dea33de0f2
- Size of remote file:
- 3.31 kB
- SHA256:
- f1a28a18871de48bc029d4a0d3291b27fc2c53b3936679f54ccea00142d36333
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