Instructions to use Angelectronic/llama3-chat_QA-ViMMRC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Angelectronic/llama3-chat_QA-ViMMRC with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Angelectronic/llama3-chat_QA-ViMMRC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- 1e868af1a8af42ff06d2ef731e468c5ec350c4815fe7d0e156af2cd8bfcca79d
- Size of remote file:
- 168 MB
- SHA256:
- 6fa6b76a9c211690cb68a084e992c29df2c4bd82340ad45ad216fcb983acd2cb
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