Instructions to use ChatterjeeLab/MetaLATTE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChatterjeeLab/MetaLATTE with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ChatterjeeLab/MetaLATTE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download figures/updated_front_page.png from ChatterjeeLab/MetaLATTE: direct link, hf CLI and curl.
- Browser
- Download file 2.88 MB
-
https://huggingface.co/ChatterjeeLab/MetaLATTE/resolve/main/figures/updated_front_page.png
- Command line
-
hf download hf://ChatterjeeLab/MetaLATTE/figures/updated_front_page.png
-
curl -L -o updated_front_page.png https://huggingface.co/ChatterjeeLab/MetaLATTE/resolve/main/figures/updated_front_page.png
2.88 MB

- Xet hash:
- fb192eb3a9c39ac0da95d64e3205164fff7ca7cc1fd79441aed4dc7e2702b027
- Size of remote file:
- 2.88 MB
- SHA256:
- ac2537a46b3609d756a9ecbd22525c53574df2b8ec5b6f01bf9d35acd189cd2a
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