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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bb80de0d0c25b463bf9c6cd930d8bec40fd97486e3ef89db07b81331a03f875
- Size of remote file:
- 4.09 kB
- SHA256:
- 98609f62aa6f79ce106deca912e5a3eac22ec3b78b83a57c07cdf240ed02442b
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