Image Classification
Transformers
TensorBoard
Safetensors
vit
food-ingredient-classification
food101
food101-finetuned
Generated from Trainer
Instructions to use ericmconnelly/finetuned-food101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericmconnelly/finetuned-food101 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ericmconnelly/finetuned-food101") 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("ericmconnelly/finetuned-food101") model = AutoModelForImageClassification.from_pretrained("ericmconnelly/finetuned-food101", device_map="auto") - Notebooks
- Google Colab
- Kaggle
finetuned-food101 / runs /Apr27_05-14-22_8eec29eb7fb6 /events.out.tfevents.1714194870.8eec29eb7fb6.22380.1
- Xet hash:
- 18f89570923e7730c5827738164eef0458fb3d4bff75054f305663da91595da9
- Size of remote file:
- 11.6 kB
- SHA256:
- 6c8d53a693911387bf7c48fcde232bd10b233503bc66fa15f9a9dce73db194c2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.