Instructions to use collij22/ner_preprocessed_cadec_michiyasunaga_BioLinkBERT-base_2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use collij22/ner_preprocessed_cadec_michiyasunaga_BioLinkBERT-base_2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="collij22/ner_preprocessed_cadec_michiyasunaga_BioLinkBERT-base_2.0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("collij22/ner_preprocessed_cadec_michiyasunaga_BioLinkBERT-base_2.0") model = AutoModelForTokenClassification.from_pretrained("collij22/ner_preprocessed_cadec_michiyasunaga_BioLinkBERT-base_2.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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