Instructions to use michaelfeil/ct2fast-codegen2-3_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-codegen2-3_7B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-codegen2-3_7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from michaelfeil/ct2fast-codegen2-3_7B: direct link, hf CLI and curl.
- Browser
- Download file 7.28 GB
-
https://huggingface.co/michaelfeil/ct2fast-codegen2-3_7B/resolve/main/model.bin
- Command line
-
hf download hf://michaelfeil/ct2fast-codegen2-3_7B/model.bin
-
curl -L -o model.bin https://huggingface.co/michaelfeil/ct2fast-codegen2-3_7B/resolve/main/model.bin
7.28 GB
- Xet hash:
- d0e7c0bfb8092ef9d373aed3326e50484e369ca3067f8678dc84c2c50788d03e
- Size of remote file:
- 7.28 GB
- SHA256:
- 411a1078e9d086dc068a980c2a7d73c26e48779992b89e31f311201b8d53d58f
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