Instructions to use michaelfeil/ct2fast-codegen2-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-codegen2-1B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-codegen2-1B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from michaelfeil/ct2fast-codegen2-1B: direct link, hf CLI and curl.
- Browser
- Download file 2.03 GB
-
https://huggingface.co/michaelfeil/ct2fast-codegen2-1B/resolve/main/model.bin
- Command line
-
hf download hf://michaelfeil/ct2fast-codegen2-1B/model.bin
-
curl -L -o model.bin https://huggingface.co/michaelfeil/ct2fast-codegen2-1B/resolve/main/model.bin
2.03 GB
- Xet hash:
- 9b615c80e47c802bc19796b99640fc359666a270c9b37407c80220eeee23601d
- Size of remote file:
- 2.03 GB
- SHA256:
- a619944a40c6c3bce84500d0d28d49b443dff58a29eef9fa402e2f329d855395
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