Instructions to use michaelfeil/ct2fast-codegen2-16B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-codegen2-16B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-codegen2-16B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from michaelfeil/ct2fast-codegen2-16B: direct link, hf CLI and curl.
- Browser
- Download file 32.1 GB
-
https://huggingface.co/michaelfeil/ct2fast-codegen2-16B/resolve/main/model.bin
- Command line
-
hf download hf://michaelfeil/ct2fast-codegen2-16B/model.bin
-
curl -L -o model.bin https://huggingface.co/michaelfeil/ct2fast-codegen2-16B/resolve/main/model.bin
32.1 GB
- Xet hash:
- b692355516f220a6af9bec748b60daa8af6cee7a3e7cfc7736be735380a2dc22
- Size of remote file:
- 32.1 GB
- SHA256:
- 525d8e0c1bdab46c2a97beaba415631645ef17a4031af1909362a2fa728fd63d
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