Instructions to use GMorgulis/Llama-3.2-3B-Instruct-owl_lora_sgd3e1-STEER0.202148-ft4.43 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GMorgulis/Llama-3.2-3B-Instruct-owl_lora_sgd3e1-STEER0.202148-ft4.43 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GMorgulis/Llama-3.2-3B-Instruct-owl_lora_sgd3e1-STEER0.202148-ft4.43", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 631552aba38aab888c7b0649b5df5d5a85233a2142013a8897e0cf485ddd454f
- Size of remote file:
- 5.91 kB
- SHA256:
- e1b052e4d275f1faf32adf6c5833be055d80f2b2adb0b9337f981ce3230585e7
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