Image Classification
Transformers
TensorBoard
Safetensors
vit
SGH
3_class
ViT
Generated from Trainer
Instructions to use Uniteworker/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Uniteworker/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Uniteworker/ViT_beans") 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("Uniteworker/ViT_beans") model = AutoModelForImageClassification.from_pretrained("Uniteworker/ViT_beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Uniteworker/ViT_beans: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/Uniteworker/ViT_beans/resolve/main/training_args.bin
- Command line
-
hf download hf://Uniteworker/ViT_beans/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Uniteworker/ViT_beans/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 28a224c58e38ef28df01f82246b89599eed0b133112a319da83bc1e1b4693662
- Size of remote file:
- 5.37 kB
- SHA256:
- 581f4f103027d0a177b3050cf8a2c8b04fb1d87e818982bd73fd15175d630360
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