Instructions to use fawern/Bio_ClinicalBERT-medical-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fawern/Bio_ClinicalBERT-medical-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fawern/Bio_ClinicalBERT-medical-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fawern/Bio_ClinicalBERT-medical-text-classification") model = AutoModelForSequenceClassification.from_pretrained("fawern/Bio_ClinicalBERT-medical-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9002f9310f0b596ebd0eba6604351df7bdcbcdbb415899db1c516c0125da2058
- Size of remote file:
- 4.98 kB
- SHA256:
- a25ed4b5c334ada58765774ded72acda7c27eafa485f2d1f21c67ff5a4e51a60
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