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.16.comp.block_output.unit.pos.nunit.1#1.bin with huggingface_hub
d89e0a1 verified - Xet hash:
- 6484bb9847bc2920e7f02b0d7cca875605d6b57b600caaa81ee13c3da3d72de7
- Size of remote file:
- 51.3 kB
- SHA256:
- ad57aa698dd1249631daf85bb93ced0721ce80b3ada4f4589e14f1b63f85bb1c
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