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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ChatterjeeLab/MetaLATTE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model/stage1_model.bin from ChatterjeeLab/MetaLATTE: direct link, hf CLI and curl.
- Browser
- Download file 5.65 GB
-
https://huggingface.co/ChatterjeeLab/MetaLATTE/resolve/main/model/stage1_model.bin
- Command line
-
hf download hf://ChatterjeeLab/MetaLATTE/model/stage1_model.bin
-
curl -L -o stage1_model.bin https://huggingface.co/ChatterjeeLab/MetaLATTE/resolve/main/model/stage1_model.bin
5.65 GB
- Xet hash:
- 583f7dd45a0fdade0ef9a80f9ba0ebac621cfeef1902358091a9b128c1380441
- Size of remote file:
- 5.65 GB
- SHA256:
- 53d0ab8b189ff0036c4db55a0b8b8f2db1496a4d190fbb8532d3feef57737757
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