Text Classification
Transformers
Safetensors
English
bibr
OECD
scientific-paper-classification
MiniLM
Instructions to use scienceverse/bibr-paper-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scienceverse/bibr-paper-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="scienceverse/bibr-paper-classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("scienceverse/bibr-paper-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a250dbd9f59fd9339b45bc7accc56b33b96d2265dc2bd53c30206ff1252528ea
- Size of remote file:
- 90.9 MB
- SHA256:
- 7a46c595cf3bb8e1eff39303786e8b7d16c95ea87f9f06b12d4a753f0be1e580
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