Instructions to use enthuzst/llama2_french_model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use enthuzst/llama2_french_model_test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "enthuzst/llama2_french_model_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1afb546d5b052de4770670fc7b5effc1a0c1223c48f621e6e48a2dce6baff334
- Size of remote file:
- 134 MB
- SHA256:
- 2b37e26267eae2a1740c53809d22a12949f293c809a6dc15ef72b4d25b89872a
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