Instructions to use hf-internal-testing/tiny-random-FocalNetForMaskedImageModeling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FocalNetForMaskedImageModeling with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, FocalNetForMaskedImageModeling processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-FocalNetForMaskedImageModeling") model = FocalNetForMaskedImageModeling.from_pretrained("hf-internal-testing/tiny-random-FocalNetForMaskedImageModeling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from hf-internal-testing/tiny-random-FocalNetForMaskedImageModeling: direct link, hf CLI and curl.
- Browser
- Download file 986 Bytes
-
https://huggingface.co/hf-internal-testing/tiny-random-FocalNetForMaskedImageModeling/resolve/dd58b2d91537e5b47b9e7aa91111d5fe3303c95c/config.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-FocalNetForMaskedImageModeling@dd58b2d91537e5b47b9e7aa91111d5fe3303c95c/config.json
-
curl -L -o config.json https://huggingface.co/hf-internal-testing/tiny-random-FocalNetForMaskedImageModeling/resolve/dd58b2d91537e5b47b9e7aa91111d5fe3303c95c/config.json
986 Bytes
| { | |
| "architectures": [ | |
| "FocalNetForMaskedImageModeling" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "depths": [ | |
| 1, | |
| 2, | |
| 1 | |
| ], | |
| "drop_path_rate": 0.1, | |
| "embed_dim": 16, | |
| "encoder_stride": 8, | |
| "focal_levels": [ | |
| 2, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "focal_windows": [ | |
| 3, | |
| 3, | |
| 3, | |
| 3 | |
| ], | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "image_size": 32, | |
| "initializer_range": 0.02, | |
| "layer_norm_eps": 1e-05, | |
| "layerscale_value": 0.0001, | |
| "mlp_ratio": 2.0, | |
| "model_type": "focalnet", | |
| "normalize_modulator": false, | |
| "num_channels": 3, | |
| "num_heads": [ | |
| 2, | |
| 2, | |
| 4 | |
| ], | |
| "out_features": [ | |
| "stage1", | |
| "stage2" | |
| ], | |
| "patch_size": 2, | |
| "path_norm": true, | |
| "qkv_bias": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.29.0.dev0", | |
| "use_absolute_embeddings": false, | |
| "use_conv_embed": false, | |
| "use_layerscale": false, | |
| "use_post_layernorm": false, | |
| "use_post_layernorm_in_modulation": false, | |
| "window_size": 2 | |
| } | |