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
| { | |
| "epoch": 4.0, | |
| "total_flos": 1.9975615705569485e+19, | |
| "train_loss": 0.9840855360623473, | |
| "train_runtime": 18351.2913, | |
| "train_samples_per_second": 14.034, | |
| "train_steps_per_second": 0.877 | |
| } |