Instructions to use CALM/backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CALM/backup with Transformers:
# Load model directly from transformers import LeanAlbertForPretraining model = LeanAlbertForPretraining.from_pretrained("CALM/backup", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model_state.pt from CALM/backup: direct link, hf CLI and curl.
- Browser
- Download file 734 MB
-
https://huggingface.co/CALM/backup/resolve/main/model_state.pt
- Command line
-
hf download hf://CALM/backup/model_state.pt
-
curl -L -o model_state.pt https://huggingface.co/CALM/backup/resolve/main/model_state.pt
734 MB
- Xet hash:
- 49bd0b7d6a8d73ee839bf103dc14cbe6b76bf011a85f0520661f74f4c6aa75c2
- Size of remote file:
- 734 MB
- SHA256:
- a48af3d0d3fb64a86037fd9ce0deaa27c08d50aff6589b7c0181360c49a38e30
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