Instructions to use not-lain/BaseModelWithConfigAndMultipleParameters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use not-lain/BaseModelWithConfigAndMultipleParameters with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("not-lain/BaseModelWithConfigAndMultipleParameters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from not-lain/BaseModelWithConfigAndMultipleParameters: direct link, hf CLI and curl.
- Browser
- Download file 75 Bytes
-
https://huggingface.co/not-lain/BaseModelWithConfigAndMultipleParameters/resolve/main/config.json
- Command line
-
hf download hf://not-lain/BaseModelWithConfigAndMultipleParameters/config.json
-
curl -L -o config.json https://huggingface.co/not-lain/BaseModelWithConfigAndMultipleParameters/resolve/main/config.json
75 Bytes
| { | |
| "in": 2, | |
| "kwarg_param": "kwarg_value", | |
| "name": "Lain", | |
| "out": 1 | |
| } |