Instructions to use Javtor/biomedical-topic-categorization-both with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Javtor/biomedical-topic-categorization-both with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Javtor/biomedical-topic-categorization-both")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Javtor/biomedical-topic-categorization-both") model = AutoModelForSequenceClassification.from_pretrained("Javtor/biomedical-topic-categorization-both", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be4ce008005b45dcb60b8bac3ab27566cf5f682a390b8ed1b2329b8bb8047a9b
- Size of remote file:
- 3.45 kB
- SHA256:
- 12e160b8dd2fb1c42d0fa9ba231f667d52ba8bbbd169b612ea15748aad3b5697
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