Instructions to use Andresckamilo/Llama3ReftModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andresckamilo/Llama3ReftModel with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Andresckamilo/Llama3ReftModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload intkey_layer.24.comp.block_output.unit.pos.nunit.1#0.bin with huggingface_hub
c343f59 verified - Xet hash:
- 24595cdc0cadc7aac37af8ce81b2e67a7ad5e4a5ffb186ca5ad1611c379813f3
- Size of remote file:
- 51.3 kB
- SHA256:
- d427654ced2d5691c2f4134d890e466f50993a5d37342d4d7332e59fcf351f7e
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