Instructions to use eugenesiow/awsrn-bam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eugenesiow/awsrn-bam with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eugenesiow/awsrn-bam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from eugenesiow/awsrn-bam: direct link, hf CLI and curl.
- Browser
- Download file 170 Bytes
-
https://huggingface.co/eugenesiow/awsrn-bam/resolve/main/config.json
- Command line
-
hf download hf://eugenesiow/awsrn-bam/config.json
-
curl -L -o config.json https://huggingface.co/eugenesiow/awsrn-bam/resolve/main/config.json
170 Bytes
| { | |
| "bam": true, | |
| "data_parallel": false, | |
| "model_type": "AWSRN", | |
| "rgb_mean": [ | |
| 0.4488, | |
| 0.4371, | |
| 0.404 | |
| ], | |
| "rgb_std": [ | |
| 1.0, | |
| 1.0, | |
| 1.0 | |
| ] | |
| } | |