Instructions to use michaelfeil/ct2fast-codegen2-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-codegen2-7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-codegen2-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from michaelfeil/ct2fast-codegen2-7B: direct link, hf CLI and curl.
- Browser
- Download file 13.7 GB
-
https://huggingface.co/michaelfeil/ct2fast-codegen2-7B/resolve/main/model.bin
- Command line
-
hf download hf://michaelfeil/ct2fast-codegen2-7B/model.bin
-
curl -L -o model.bin https://huggingface.co/michaelfeil/ct2fast-codegen2-7B/resolve/main/model.bin
13.7 GB
- Xet hash:
- 9be525b62f87ce008c2b0f01e99c86fd538accb0810e6dcd565fc66544a67422
- Size of remote file:
- 13.7 GB
- SHA256:
- 5ca7086f8d6576da0498fc7b54094a99e7c471d35f2ff98c03256d4bce41dfd1
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