Instructions to use mpasila/Llama-3.1-Swallow-JP-EN-Translator-v1-LoRA-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mpasila/Llama-3.1-Swallow-JP-EN-Translator-v1-LoRA-8B with PEFT:
Task type is invalid.
- Transformers
How to use mpasila/Llama-3.1-Swallow-JP-EN-Translator-v1-LoRA-8B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mpasila/Llama-3.1-Swallow-JP-EN-Translator-v1-LoRA-8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 8ef351ad36a85fd7ee76cc3bba34a91e4b98f33af540489b44452b06cb2164d9
- Size of remote file:
- 17.2 MB
- SHA256:
- c1f4a1a7159f2dacfa01410288c1b9faee8d5e309c880cb3dfc8e9ab3e070cef
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