Instructions to use Bakugo123/sft-llama-cloud with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bakugo123/sft-llama-cloud with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bakugo123/sft-llama-cloud", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f8d3b2ed761f23155b7df5db1454d38be7613db2547fdd3a29b40b2e943efded
- Size of remote file:
- 6.16 kB
- SHA256:
- 6c830891387c432e142fadf4096546e31c7880891036d929583d7d3da55cfc53
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