Instructions to use anarodrdi/clasificador-medical-biomedbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anarodrdi/clasificador-medical-biomedbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anarodrdi/clasificador-medical-biomedbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anarodrdi/clasificador-medical-biomedbert") model = AutoModelForSequenceClassification.from_pretrained("anarodrdi/clasificador-medical-biomedbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a905c6f7526d31bb149767696af275d34c64840464b47579adc39a860fb1a84
- Size of remote file:
- 5.27 kB
- SHA256:
- 99765d1dff59a5f5d809de37fae65e564cf68729d965b870cafe8959201d792f
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