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:
- 664305615d2c6430f93e9b97d702608ed3980d32ae0c5aeb115965494d05054d
- Size of remote file:
- 4.09 kB
- SHA256:
- 6993dccefae56d0769c63b590843419962626a764634c5d23c740472a2ea56b4
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