Instructions to use mchochowski/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mchochowski/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mchochowski/test-model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mchochowski/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architecture": "resnet50d", | |
| "classifier": "fc", | |
| "crop_pct": 0.875, | |
| "first_conv": "conv1.0", | |
| "input_size": [ | |
| 3, | |
| 224, | |
| 224 | |
| ], | |
| "interpolation": "bicubic", | |
| "mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "num_classes": 1000, | |
| "pool_size": [ | |
| 7, | |
| 7 | |
| ], | |
| "std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ] | |
| } | |