Instructions to use Javtor/biomedical-topic-categorization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Javtor/biomedical-topic-categorization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Javtor/biomedical-topic-categorization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Javtor/biomedical-topic-categorization") model = AutoModelForSequenceClassification.from_pretrained("Javtor/biomedical-topic-categorization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d88c3c4bbcd5508a4d06ce9181ab8533de5f0d59cc51db3ebc65d8653ed3f538
- Size of remote file:
- 1.33 GB
- SHA256:
- 136c2ed589dbf4e70e2057406eb334effad824bd050f620e71b961dfac9d0274
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