Instructions to use vineetsharma/BioMedical_NER-maccrobat-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vineetsharma/BioMedical_NER-maccrobat-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vineetsharma/BioMedical_NER-maccrobat-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vineetsharma/BioMedical_NER-maccrobat-bert") model = AutoModelForTokenClassification.from_pretrained("vineetsharma/BioMedical_NER-maccrobat-bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa2b746eaee908d5b441424adbecb1a523945a744335ce16931abf9b5434ca70
- Size of remote file:
- 436 MB
- SHA256:
- fb1f422fb83d6db4284a77d5e1515f27dd6afd3e8d2b6188b4b18bbf90ea7bab
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