Instructions to use ajtorek/BridgeTower-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ajtorek/BridgeTower-Image with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import VisionTransformer model = VisionTransformer.from_pretrained("ajtorek/BridgeTower-Image", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from ajtorek/BridgeTower-Image: direct link, hf CLI and curl.
- Browser
- Download file 753 Bytes
-
https://huggingface.co/ajtorek/BridgeTower-Image/resolve/main/config.json
- Command line
-
hf download hf://ajtorek/BridgeTower-Image/config.json
-
curl -L -o config.json https://huggingface.co/ajtorek/BridgeTower-Image/resolve/main/config.json
753 Bytes
| { | |
| "_name_or_path": "WAC_MIM/trained_models/pytorch_model.bin", | |
| "architectures": [ | |
| "VisionTransformer" | |
| ], | |
| "attention_implementation": "sdpa", | |
| "attention_probability_dropout_probability": 0.1, | |
| "dropout_probability": 0.1, | |
| "embedding_size": 128, | |
| "hidden_activation_function": "gelu", | |
| "hidden_size": 256, | |
| "image_size": 224, | |
| "initializer_factor": 1.0, | |
| "intermediate_size": 1024, | |
| "layer_norm_eps": 1e-12, | |
| "num_attention_heads": 4, | |
| "num_channels": 3, | |
| "num_hidden_layers": 12, | |
| "num_intermediate_layers": 3, | |
| "patch_size": 16, | |
| "qkv_bias": false, | |
| "remove_last_layer": false, | |
| "share_layer_norm": true, | |
| "stop_gradient": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.48.3", | |
| "use_mask_token": false | |
| } | |