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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 583f7dd45a0fdade0ef9a80f9ba0ebac621cfeef1902358091a9b128c1380441
- Size of remote file:
- 5.65 GB
- SHA256:
- 53d0ab8b189ff0036c4db55a0b8b8f2db1496a4d190fbb8532d3feef57737757
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