Instructions to use bigshanedogg/Concerto-Base-Origin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigshanedogg/Concerto-Base-Origin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bigshanedogg/Concerto-Base-Origin", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bigshanedogg/Concerto-Base-Origin", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from bigshanedogg/Concerto-Base-Origin: direct link, hf CLI and curl.
- Browser
- Download file 1.19 kB
-
https://huggingface.co/bigshanedogg/Concerto-Base-Origin/resolve/main/config.json
- Command line
-
hf download hf://bigshanedogg/Concerto-Base-Origin/config.json
-
curl -L -o config.json https://huggingface.co/bigshanedogg/Concerto-Base-Origin/resolve/main/config.json
1.19 kB
| { | |
| "architectures": [ | |
| "ConcertoModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_concerto.ConcertoConfig", | |
| "AutoModel": "modeling_concerto.ConcertoModel" | |
| }, | |
| "dtype": "float32", | |
| "enable_flash": null, | |
| "enc_patch_size": null, | |
| "model_type": "concerto", | |
| "ptv3_config": { | |
| "attn_drop": 0.0, | |
| "drop_path": 0.3, | |
| "enable_flash": true, | |
| "enable_rpe": false, | |
| "enc_channels": [ | |
| 48, | |
| 96, | |
| 192, | |
| 384, | |
| 512 | |
| ], | |
| "enc_depths": [ | |
| 3, | |
| 3, | |
| 3, | |
| 12, | |
| 3 | |
| ], | |
| "enc_mode": true, | |
| "enc_num_head": [ | |
| 3, | |
| 6, | |
| 12, | |
| 24, | |
| 32 | |
| ], | |
| "enc_patch_size": [ | |
| 1024, | |
| 1024, | |
| 1024, | |
| 1024, | |
| 1024 | |
| ], | |
| "in_channels": 9, | |
| "mask_token": true, | |
| "mlp_ratio": 4, | |
| "order": [ | |
| "z", | |
| "z-trans", | |
| "hilbert", | |
| "hilbert-trans" | |
| ], | |
| "pre_norm": true, | |
| "proj_drop": 0.0, | |
| "qk_scale": null, | |
| "qkv_bias": true, | |
| "shuffle_orders": true, | |
| "stride": [ | |
| 2, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "traceable": true, | |
| "upcast_attention": false, | |
| "upcast_softmax": false | |
| }, | |
| "transformers_version": "5.20.2" | |
| } | |