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:
- e680fbc072e68aa4655ac3bdffb57ec61fd97d2c4d4541bcdfc4edd7957ebc5d
- Size of remote file:
- 438 MB
- SHA256:
- 5231f527b3c592d10a7c00cb232d1e2781fedddcd1f9b99a249f1cf80e104cce
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