uv-scripts/classification
Classification Scripts Text classification on HF Jobs: label a dataset with a model that needs no training, or train your own classifier from labelled examples. If you have seen Jev and other "System One" models: the models these scripts train are small, open versions of the same idea. They read a piece of data and return a label with a probability, and you can train one on your own labels. For example, this demo suggests task tags for any Hub dataset; its model was fine-tuned… See the full description on the dataset page: https://huggingface.co/datasets/uv-scripts/classification.
Sync from GitHub via hub-sync
Sync from GitHub via hub-sync
Sync from GitHub via hub-sync
Sync from GitHub via hub-sync
Sync from GitHub via hub-sync
Add hf-jobs tag to README frontmatter
update
README.md
sglang version
Update README.md to enhance model description and add advanced example for ArXiv ML trends analysis
Add early authentication check with whoami validation
Add automatic token detection for HF authentication
Add vLLM-based text classification script
initial commit
