Instructions to use nums-ai/causilo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Causilo
How to use nums-ai/causilo with Causilo:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download classifier/config.json from nums-ai/causilo: direct link, hf CLI and curl.
- Browser
- Download file 469 Bytes
-
https://huggingface.co/nums-ai/causilo/resolve/main/classifier/config.json
- Command line
-
hf download hf://nums-ai/causilo/classifier/config.json
-
curl -L -o config.json https://huggingface.co/nums-ai/causilo/resolve/main/classifier/config.json
469 Bytes
| { | |
| "architecture": "causilo-v1.0", | |
| "format_version": 1, | |
| "config_version": 1, | |
| "model": { | |
| "task": "classification", | |
| "width": 128, | |
| "expansion": 2, | |
| "group_size": 3, | |
| "frequencies": 16, | |
| "column_latents": 128, | |
| "column_heads": 4, | |
| "column_depths": [ | |
| 3, | |
| 3 | |
| ], | |
| "row_heads": 8, | |
| "row_latents": 4, | |
| "row_depths": [ | |
| 3, | |
| 3 | |
| ], | |
| "prediction_heads": 4, | |
| "prediction_depth": 12, | |
| "outputs": 10 | |
| } | |
| } | |