Instructions to use cariai/meds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cariai/meds with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cariai/meds")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cariai/meds") model = AutoModelForTokenClassification.from_pretrained("cariai/meds") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e71249215910d37a13b063f3891ed88d1720edc50d32e535ce89bf89b5dcc28f
- Size of remote file:
- 496 MB
- SHA256:
- e0e1569a683eb4e6da9250f62f76acec79cf30c13b859ce0ba05bfedb7e20c4c
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