Instructions to use MichaelR207/personalized-llama-michael with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MichaelR207/personalized-llama-michael 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, "MichaelR207/personalized-llama-michael") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b73fa1e64e7621a20663c6b717ee8c0a727e71df0e7d26d444ea4c297441249b
- Size of remote file:
- 5.11 kB
- SHA256:
- 22c55ecd898206b941d4f23a1bb9451784abd161566e6d058981c06ac3c19614
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