Instructions to use ram-lexsi/agenttune-testrun-plan-execute with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ram-lexsi/agenttune-testrun-plan-execute with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ram-lexsi/agenttune-testrun-plan-execute", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-10/optimizer.pt from ram-lexsi/agenttune-testrun-plan-execute: direct link, hf CLI and curl.
- Browser
- Download file 6.66 MB
-
https://huggingface.co/ram-lexsi/agenttune-testrun-plan-execute/resolve/main/checkpoint-10/optimizer.pt
- Command line
-
hf download hf://ram-lexsi/agenttune-testrun-plan-execute/checkpoint-10/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ram-lexsi/agenttune-testrun-plan-execute/resolve/main/checkpoint-10/optimizer.pt
6.66 MB
- Xet hash:
- fb4a340fb1ecbb7333793bef981d3581a0b3450bd7f589b8e730bcbf9585339f
- Size of remote file:
- 6.66 MB
- SHA256:
- 881169b4a842f1b410053e8c29943e00ef26f0ced194fb8b492900dd59f936d4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.