Instructions to use siacus/Llama-32-3B-swb-100-fasrc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use siacus/Llama-32-3B-swb-100-fasrc with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("siacus/Llama-32-3B-swb-100-fasrc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f136944856080a6c338856ea947223ba60c0359adbc46b901d5dbb022b15717f
- Size of remote file:
- 73.4 MB
- SHA256:
- 43c4df6b7d1107a23c26c69662c55f7a6806520c03b477051def973c2ab61260
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