Instructions to use VMXVMX/llama2-project with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VMXVMX/llama2-project with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/tmp/huggingface/hub/hf-llama-2-7b") model = PeftModel.from_pretrained(base_model, "VMXVMX/llama2-project") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32f33e0696a07a50d9250706b8d5d1736dc45edf24e8da9ca16978731580e915
- Size of remote file:
- 16.8 MB
- SHA256:
- 6ca23df047b613b0bdf4d0b039cea3a7b9c097b2d7bb797c6870cc93f0cf9fac
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