Instructions to use ssg1/doc-compass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ssg1/doc-compass with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ssg1/doc-compass")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ssg1/doc-compass", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download doccompass/__init__.py from ssg1/doc-compass: direct link, hf CLI and curl.
- Browser
- Download file 78 Bytes
-
https://huggingface.co/ssg1/doc-compass/resolve/main/doccompass/__init__.py
- Command line
-
hf download hf://ssg1/doc-compass/doccompass/__init__.py
-
curl -L -o __init__.py https://huggingface.co/ssg1/doc-compass/resolve/main/doccompass/__init__.py
78 Bytes
| """Doc Compass: route a plain-language health concern to a kind of doctor.""" | |