Instructions to use Jacques7103/Food-Recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jacques7103/Food-Recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Jacques7103/Food-Recognition") 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("Jacques7103/Food-Recognition") model = AutoModelForImageClassification.from_pretrained("Jacques7103/Food-Recognition") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "google/vit-base-patch16-224-in21k", | |
| "architectures": [ | |
| "ViTForImageClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "encoder_stride": 16, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "apple_pie", | |
| "1": "baby_back_ribs", | |
| "2": "baklava", | |
| "3": "beef_carpaccio", | |
| "4": "beef_tartare", | |
| "5": "beet_salad", | |
| "6": "beignets", | |
| "7": "bibimbap", | |
| "8": "bread_pudding", | |
| "9": "breakfast_burrito" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "apple_pie": "0", | |
| "baby_back_ribs": "1", | |
| "baklava": "2", | |
| "beef_carpaccio": "3", | |
| "beef_tartare": "4", | |
| "beet_salad": "5", | |
| "beignets": "6", | |
| "bibimbap": "7", | |
| "bread_pudding": "8", | |
| "breakfast_burrito": "9" | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "model_type": "vit", | |
| "num_attention_heads": 12, | |
| "num_channels": 3, | |
| "num_hidden_layers": 12, | |
| "patch_size": 16, | |
| "problem_type": "single_label_classification", | |
| "qkv_bias": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.36.0" | |
| } | |