Instructions to use humanlong/improving-self-evolution-mbpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use humanlong/improving-self-evolution-mbpp with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("humanlong/improving-self-evolution-mbpp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download run_status.json from humanlong/improving-self-evolution-mbpp: direct link, hf CLI and curl.
- Browser
- Download file 274 Bytes
-
https://huggingface.co/humanlong/improving-self-evolution-mbpp/resolve/main/run_status.json
- Command line
-
hf download hf://humanlong/improving-self-evolution-mbpp/run_status.json
-
curl -L -o run_status.json https://huggingface.co/humanlong/improving-self-evolution-mbpp/resolve/main/run_status.json
274 Bytes
| { | |
| "status": "completed", | |
| "output_dir": "runs/retention_5round_single_seed_train16_eval16_b128_v1", | |
| "methods": [ | |
| "plain", | |
| "spd_hard", | |
| "spectral_soft" | |
| ], | |
| "rounds": 5, | |
| "elapsed_this_invocation_seconds": 78024.2455704757, | |
| "verification": "completed" | |
| } | |