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:
# pip install -U transformers accelerate # Load model directly from transformers import LeanAlbertForPretraining model = LeanAlbertForPretraining.from_pretrained("CALM/backup", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer_state.pt from CALM/backup: direct link, hf CLI and curl.
- Browser
- Download file 380 MB
-
https://huggingface.co/CALM/backup/resolve/main/optimizer_state.pt
- Command line
-
hf download hf://CALM/backup/optimizer_state.pt
-
curl -L -o optimizer_state.pt https://huggingface.co/CALM/backup/resolve/main/optimizer_state.pt
380 MB
- Xet hash:
- 15408fa429055afba59c938a5de1387e4990081c383c0d540ba0bce46e380088
- Size of remote file:
- 380 MB
- SHA256:
- fd1f6adaec5e6c8bde6f3de67e1c324ff49fd2bac95076542a88537e3d98a3e0
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