Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use jackie68/foodImageToText with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jackie68/foodImageToText with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jackie68/foodImageToText") 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("jackie68/foodImageToText") model = AutoModelForImageClassification.from_pretrained("jackie68/foodImageToText", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jackie68/foodImageToText: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/jackie68/foodImageToText/resolve/main/training_args.bin
- Command line
-
hf download hf://jackie68/foodImageToText/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jackie68/foodImageToText/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 927d1f578b7568a4f9a6498ce7d62d551ab3b5d694d1217862630643950b236e
- Size of remote file:
- 3.58 kB
- SHA256:
- ebe8183fa0ccac5ae37b5eb9c8fc650601c4bf313653608b07b83dfe9c92741b
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