Instructions to use millicentli/llama3_inversion_llama3_multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use millicentli/llama3_inversion_llama3_multi with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "millicentli/llama3_inversion_llama3_multi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f5704fae864010cf01eea3f9d95cf7e20cfd012b5296a472d6b870776c70a666
- Size of remote file:
- 17.2 MB
- SHA256:
- 9725995381c19e111e1a4baeb68ae0c86c311b0ac0a129e2cd95bf00f16451db
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