Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Instructions to use Dax161/Salta1v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dax161/Salta1v with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Dax161/Salta1v") 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("Dax161/Salta1v") model = AutoModelForImageClassification.from_pretrained("Dax161/Salta1v", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from Dax161/Salta1v: direct link, hf CLI and curl.
- Browser
- Download file 777 Bytes
-
https://huggingface.co/Dax161/Salta1v/resolve/main/config.json
- Command line
-
hf download hf://Dax161/Salta1v/config.json
-
curl -L -o config.json https://huggingface.co/Dax161/Salta1v/resolve/main/config.json
777 Bytes
| { | |
| "_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": "Causa rellena", | |
| "1": "Lomo saltado con arroz" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
| "Causa rellena": "0", | |
| "Lomo saltado con arroz": "1" | |
| }, | |
| "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": "4.35.2" | |
| } | |