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:
- 90d8e9087d03a3633e48a003bcf9c4d13917d2eba268b332b4bd88c442a1fe3a
- Size of remote file:
- 3.45 kB
- SHA256:
- e77b99e92aac31c1b24a4a0380d850ff1c82fded275548ec87a2bb84093a737c
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