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
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Download README.md from not-lain/BaseModelWithConfigAndMultipleParameters: direct link, hf CLI and curl.
- Browser
- Download file 176 Bytes
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https://huggingface.co/not-lain/BaseModelWithConfigAndMultipleParameters/resolve/main/README.md
- Command line
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hf download hf://not-lain/BaseModelWithConfigAndMultipleParameters/README.md
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curl -L -o README.md https://huggingface.co/not-lain/BaseModelWithConfigAndMultipleParameters/resolve/main/README.md
176 Bytes
| tags: | |
| - pytorch_model_hub_mixin | |
| - model_hub_mixin | |
| This model has been pushed to the Hub using ****: | |
| - Repo: [More Information Needed] | |
| - Docs: [More Information Needed] |