Instructions to use yifengchaoran/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yifengchaoran/test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yifengchaoran/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from yifengchaoran/test: direct link, hf CLI and curl.
- Browser
- Download file 290 Bytes
-
https://huggingface.co/yifengchaoran/test/resolve/main/config.json
- Command line
-
hf download hf://yifengchaoran/test/config.json
-
curl -L -o config.json https://huggingface.co/yifengchaoran/test/resolve/main/config.json
290 Bytes
| { | |
| "avg_down": true, | |
| "base_width": 64, | |
| "block_type": "bottleneck", | |
| "cardinality": 1, | |
| "input_channels": 3, | |
| "layers": [ | |
| 3, | |
| 4, | |
| 6, | |
| 3 | |
| ], | |
| "model_type": "resnet", | |
| "num_classes": 1000, | |
| "stem_type": "deep", | |
| "stem_width": 32, | |
| "transformers_version": "4.48.2" | |
| } | |