Instructions to use Transformers123/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Transformers123/output with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Transformers123/output") model = SegformerForSemanticSegmentation.from_pretrained("Transformers123/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from Transformers123/output: direct link, hf CLI and curl.
- Browser
- Download file 1.1 kB
-
https://huggingface.co/Transformers123/output/resolve/main/config.json
- Command line
-
hf download hf://Transformers123/output/config.json
-
curl -L -o config.json https://huggingface.co/Transformers123/output/resolve/main/config.json
1.1 kB
| { | |
| "_name_or_path": "nvidia/mit-b2", | |
| "architectures": [ | |
| "SegformerForSemanticSegmentation" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "classifier_dropout_prob": 0.1, | |
| "decoder_hidden_size": 768, | |
| "depths": [ | |
| 3, | |
| 4, | |
| 6, | |
| 3 | |
| ], | |
| "downsampling_rates": [ | |
| 1, | |
| 4, | |
| 8, | |
| 16 | |
| ], | |
| "drop_path_rate": 0.1, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_sizes": [ | |
| 64, | |
| 128, | |
| 320, | |
| 512 | |
| ], | |
| "id2label": { | |
| "0": "BKG", | |
| "255": "WHT" | |
| }, | |
| "image_size": 224, | |
| "initializer_range": 0.02, | |
| "label2id": { | |
| "BKG": 0, | |
| "WHT": 255 | |
| }, | |
| "layer_norm_eps": 1e-06, | |
| "mlp_ratios": [ | |
| 4, | |
| 4, | |
| 4, | |
| 4 | |
| ], | |
| "model_type": "segformer", | |
| "num_attention_heads": [ | |
| 1, | |
| 2, | |
| 5, | |
| 8 | |
| ], | |
| "num_channels": 3, | |
| "num_encoder_blocks": 4, | |
| "patch_sizes": [ | |
| 7, | |
| 3, | |
| 3, | |
| 3 | |
| ], | |
| "reshape_last_stage": true, | |
| "semantic_loss_ignore_index": 255, | |
| "sr_ratios": [ | |
| 8, | |
| 4, | |
| 2, | |
| 1 | |
| ], | |
| "strides": [ | |
| 4, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.34.0" | |
| } | |