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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("blastwind/codegen-haskell", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from blastwind/codegen-haskell: direct link, hf CLI and curl.
- Browser
- Download file 822 Bytes
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https://huggingface.co/blastwind/codegen-haskell/resolve/refs%2Fpr%2F1/.gitattributes
- Command line
-
hf download hf://blastwind/codegen-haskell@refs/pr/1/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/blastwind/codegen-haskell/resolve/refs%2Fpr%2F1/.gitattributes
822 Bytes
| 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 | |
| model.safetensors filter=lfs diff=lfs merge=lfs -text | |