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")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("fptinters/DocClass-classify-model") model = AutoModelForImageClassification.from_pretrained("fptinters/DocClass-classify-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e37a699aae3b3507f05bdc177110b107f5ae0ae13d407e4a66521b6ddf5a9136
- Size of remote file:
- 343 MB
- SHA256:
- b0bc91ac7c3842faf4c1b5614a69d07fed96ad6bfcb426e89561762d86aad4fc
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