Instructions to use blastwind/codegen-haskell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blastwind/codegen-haskell with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("blastwind/codegen-haskell", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| scaler.pt filter=lfs diff=lfs merge=lfs -text | |
| pytorch_model.bin filter=lfs diff=lfs merge=lfs -text | |
| scheduler.pt filter=lfs diff=lfs merge=lfs -text | |
| special_tokens_map.json filter=lfs diff=lfs merge=lfs -text | |
| trainer_state.json filter=lfs diff=lfs merge=lfs -text | |
| training_args.bin filter=lfs diff=lfs merge=lfs -text | |
| added_tokens.json filter=lfs diff=lfs merge=lfs -text | |
| rng_state.pth filter=lfs diff=lfs merge=lfs -text | |
| optimizer.pt filter=lfs diff=lfs merge=lfs -text | |
| README.md filter=lfs diff=lfs merge=lfs -text | |
| tokenizer_config.json filter=lfs diff=lfs merge=lfs -text | |
| tokenizer.json filter=lfs diff=lfs merge=lfs -text | |
| vocab.json filter=lfs diff=lfs merge=lfs -text | |
| config.json filter=lfs diff=lfs merge=lfs -text | |
| merges.txt filter=lfs diff=lfs merge=lfs -text | |