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", device_map="auto")# 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:
- 3d8610d8aa0dafae5c20736cb0a3fd90825fe579cc855b477bed33cca3446a9e
- Size of remote file:
- 431 MB
- SHA256:
- d2e729d0c6449eb02b30660360d9ffc6e26783db7725a6986880843f6e1eea13
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