Instructions to use vineetsharma/BioMedical_NER-maccrobat-distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vineetsharma/BioMedical_NER-maccrobat-distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vineetsharma/BioMedical_NER-maccrobat-distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vineetsharma/BioMedical_NER-maccrobat-distilbert") model = AutoModelForTokenClassification.from_pretrained("vineetsharma/BioMedical_NER-maccrobat-distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dbaa2f5c21f9a25428d2d5d83ba16aa9de7a7e6feae35b3ee567db32484c579
- Size of remote file:
- 266 MB
- SHA256:
- 76992bbcbff8bb11baf35d0f082c95ec6a7b0859c7ea4981054ac9748ea6c9dd
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