Instructions to use timm/maxxvitv2_rmlp_base_rw_224.sw_in12k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use timm/maxxvitv2_rmlp_base_rw_224.sw_in12k with timm:
import timm model = timm.create_model("hf-hub:timm/maxxvitv2_rmlp_base_rw_224.sw_in12k", pretrained=True) - Transformers
How to use timm/maxxvitv2_rmlp_base_rw_224.sw_in12k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="timm/maxxvitv2_rmlp_base_rw_224.sw_in12k") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/maxxvitv2_rmlp_base_rw_224.sw_in12k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from timm/maxxvitv2_rmlp_base_rw_224.sw_in12k: direct link, hf CLI and curl.
- Browser
- Download file 600 Bytes
-
https://huggingface.co/timm/maxxvitv2_rmlp_base_rw_224.sw_in12k/resolve/7ff4edfecfe000ee4197e706f6a8facb73f42ceb/config.json
- Command line
-
hf download hf://timm/maxxvitv2_rmlp_base_rw_224.sw_in12k@7ff4edfecfe000ee4197e706f6a8facb73f42ceb/config.json
-
curl -L -o config.json https://huggingface.co/timm/maxxvitv2_rmlp_base_rw_224.sw_in12k/resolve/7ff4edfecfe000ee4197e706f6a8facb73f42ceb/config.json
600 Bytes
| { | |
| "architecture": "maxxvitv2_rmlp_base_rw_224", | |
| "num_classes": 11821, | |
| "num_features": 1024, | |
| "global_pool": "avg", | |
| "pretrained_cfg": { | |
| "tag": "sw_in12k", | |
| "custom_load": false, | |
| "input_size": [ | |
| 3, | |
| 224, | |
| 224 | |
| ], | |
| "fixed_input_size": true, | |
| "interpolation": "bicubic", | |
| "crop_pct": 0.95, | |
| "crop_mode": "center", | |
| "mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "num_classes": 11821, | |
| "pool_size": [ | |
| 7, | |
| 7 | |
| ], | |
| "first_conv": "stem.conv1", | |
| "classifier": "head.fc" | |
| } | |
| } |