Instructions to use Bylaw/bp-template-classification-dit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bylaw/bp-template-classification-dit with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, BylawBeitForImageClassification processor = AutoImageProcessor.from_pretrained("Bylaw/bp-template-classification-dit") model = BylawBeitForImageClassification.from_pretrained("Bylaw/bp-template-classification-dit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Bylaw/bp-template-classification-dit: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Bylaw/bp-template-classification-dit/resolve/main/training_args.bin
- Command line
-
hf download hf://Bylaw/bp-template-classification-dit/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Bylaw/bp-template-classification-dit/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- e4bf780a4deed673069c195e56e90bc09d8a02239edb4fb96d5dd14e50236e0d
- Size of remote file:
- 4.73 kB
- SHA256:
- 257df100e856919d305c2bec3e070a52103c6a22d4e0994e60ee1316e1958b8f
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