Instructions to use eugenesiow/drln-bam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eugenesiow/drln-bam with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("eugenesiow/drln-bam", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from eugenesiow/drln-bam: direct link, hf CLI and curl.
- Browser
- Download file 68 Bytes
-
https://huggingface.co/eugenesiow/drln-bam/resolve/main/config.json
- Command line
-
hf download hf://eugenesiow/drln-bam/config.json
-
curl -L -o config.json https://huggingface.co/eugenesiow/drln-bam/resolve/main/config.json
68 Bytes
| { | |
| "bam": true, | |
| "data_parallel": false, | |
| "model_type": "DRLN" | |
| } | |