Text Classification
Transformers
ONNX
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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("scienceverse/bibr-paper-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download onnx/tokenizer.json from scienceverse/bibr-paper-classifier: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/scienceverse/bibr-paper-classifier/resolve/main/onnx/tokenizer.json
- Command line
-
hf download hf://scienceverse/bibr-paper-classifier/onnx/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/scienceverse/bibr-paper-classifier/resolve/main/onnx/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.