Instructions to use fptinters/DocClass-classify-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fptinters/DocClass-classify-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fptinters/DocClass-classify-model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("fptinters/DocClass-classify-model") model = AutoModelForImageClassification.from_pretrained("fptinters/DocClass-classify-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from fptinters/DocClass-classify-model: direct link, hf CLI and curl.
- Browser
- Download file 21 Bytes
-
https://huggingface.co/fptinters/DocClass-classify-model/resolve/main/README.md
- Command line
-
hf download hf://fptinters/DocClass-classify-model/README.md
-
curl -L -o README.md https://huggingface.co/fptinters/DocClass-classify-model/resolve/main/README.md
21 Bytes
| license: mit | |