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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("humanlong/improving-self-evolution-mbpp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download MODEL_FILES.sha256 from humanlong/improving-self-evolution-mbpp: direct link, hf CLI and curl.
- Browser
- Download file 2.79 kB
-
https://huggingface.co/humanlong/improving-self-evolution-mbpp/resolve/main/MODEL_FILES.sha256
- Command line
-
hf download hf://humanlong/improving-self-evolution-mbpp/MODEL_FILES.sha256
-
curl -L -o MODEL_FILES.sha256 https://huggingface.co/humanlong/improving-self-evolution-mbpp/resolve/main/MODEL_FILES.sha256
2.79 kB
| 58b54bbe36fc752f79a24a271ef66a0a0830054b4dfad94bde757d851968060b plain/added_tokens.json | |
| 9da2b91e2ce53a217860678a33eca23b4113ba66f41d7986516dacf4e2d78475 plain/config.json | |
| a74797aba705d511c09cc4d12c4517653426ac5559841f0bad62aa8733e100da plain/generation_config.json | |
| 8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5 plain/merges.txt | |
| b0215c06deffb4781529d047b2f3c4329c40368a7322f0d3f1eedba83da9ade7 plain/model.safetensors | |
| 76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd plain/special_tokens_map.json | |
| 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa plain/tokenizer.json | |
| 74ecb08f77f4d27fdc01b86c03038bf0102b1395c28f2016334af062ce1ec5be plain/tokenizer_config.json | |
| 81cc87421eccb5c579fa31165c334928f18589f1261d5e7e27f0e488e1c19141 plain/training_stats.json | |
| ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910 plain/vocab.json | |
| 58b54bbe36fc752f79a24a271ef66a0a0830054b4dfad94bde757d851968060b spd_hard/added_tokens.json | |
| 9da2b91e2ce53a217860678a33eca23b4113ba66f41d7986516dacf4e2d78475 spd_hard/config.json | |
| a74797aba705d511c09cc4d12c4517653426ac5559841f0bad62aa8733e100da spd_hard/generation_config.json | |
| 8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5 spd_hard/merges.txt | |
| 4b7fd0819f307c6c7b424865a9da1b1cf98be032d9ce83732793fb9f81cd0b99 spd_hard/model.safetensors | |
| 76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd spd_hard/special_tokens_map.json | |
| 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa spd_hard/tokenizer.json | |
| 74ecb08f77f4d27fdc01b86c03038bf0102b1395c28f2016334af062ce1ec5be spd_hard/tokenizer_config.json | |
| ed038a7383ee92d0ae8778895549bff53f15277f9874bac2ece71519b3ae46fa spd_hard/training_stats.json | |
| ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910 spd_hard/vocab.json | |
| 58b54bbe36fc752f79a24a271ef66a0a0830054b4dfad94bde757d851968060b spectral_soft/added_tokens.json | |
| 9da2b91e2ce53a217860678a33eca23b4113ba66f41d7986516dacf4e2d78475 spectral_soft/config.json | |
| a74797aba705d511c09cc4d12c4517653426ac5559841f0bad62aa8733e100da spectral_soft/generation_config.json | |
| 8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5 spectral_soft/merges.txt | |
| 9a4ef64ea539e52196d0cd707c75bdaff789960cdd8651f0602944acc55ea50c spectral_soft/model.safetensors | |
| 76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd spectral_soft/special_tokens_map.json | |
| 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa spectral_soft/tokenizer.json | |
| 74ecb08f77f4d27fdc01b86c03038bf0102b1395c28f2016334af062ce1ec5be spectral_soft/tokenizer_config.json | |
| b5b29c0893c0ff1e1422b03b5a7e9feb7ea016703da6962b9fef4cf1e891984f spectral_soft/training_stats.json | |
| ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910 spectral_soft/vocab.json | |