Instructions to use r1208/c4ai-command-r-v01-4bit_32r_cbt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use r1208/c4ai-command-r-v01-4bit_32r_cbt with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("r1208/c4ai-command-r-v01-4bit_32r_cbt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f171fb0336082117324ab28f527b111c631fa589274ca19c4792edf6a111487b
- Size of remote file:
- 807 MB
- SHA256:
- 2ae0f27cb35375bf6c1b755419291b942d84ab2f3bd603c915636fea56d804ec
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