Instructions to use fawern/tiny-clinicalbert-medical-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fawern/tiny-clinicalbert-medical-text-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fawern/tiny-clinicalbert-medical-text-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fawern/tiny-clinicalbert-medical-text-classification") model = AutoModelForSequenceClassification.from_pretrained("fawern/tiny-clinicalbert-medical-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e403b0177548db20ac50ea92b4c18ebd7f211922fdd6af68d1884acd1a4210e6
- Size of remote file:
- 4.98 kB
- SHA256:
- 6346d0cb7738b9274d0a3f1ace2d198894ab886a8595f5dc3dc64121249faa6e
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