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 tokenizer_config.json from blastwind/codegen-haskell: direct link, hf CLI and curl.
- Browser
- Download file 283 Bytes
-
https://huggingface.co/blastwind/codegen-haskell/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://blastwind/codegen-haskell@refs/pr/1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/blastwind/codegen-haskell/resolve/refs%2Fpr%2F1/tokenizer_config.json
283 Bytes
- Xet hash:
- 21c49262ba417992574a33df7494d62cf1c571a8348352d8e41f771d10d0169a
- Size of remote file:
- 283 Bytes
- SHA256:
- 0779d801fb5024cd1b6414cb291e19e58771b2553c6b5652dd67fcedf7592423
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.