Image Classification
Transformers
PyTorch
TensorBoard
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use venuv62/beit-base-patch16-224-pt22k-ft22k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use venuv62/beit-base-patch16-224-pt22k-ft22k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="venuv62/beit-base-patch16-224-pt22k-ft22k") 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("venuv62/beit-base-patch16-224-pt22k-ft22k") model = AutoModelForImageClassification.from_pretrained("venuv62/beit-base-patch16-224-pt22k-ft22k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from venuv62/beit-base-patch16-224-pt22k-ft22k: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/venuv62/beit-base-patch16-224-pt22k-ft22k/resolve/main/training_args.bin
- Command line
-
hf download hf://venuv62/beit-base-patch16-224-pt22k-ft22k/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/venuv62/beit-base-patch16-224-pt22k-ft22k/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 1e0d4f3a2ffc27a5e30aee61e3d7c4d65868fead7e236cdde28911e917e30be5
- Size of remote file:
- 3.44 kB
- SHA256:
- 32e3e6712ef1342ebca827bf597461a61cc7ee47670a9dc120ee2d0957ee879c
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