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:
- d09598b8ef97b82458bc98006e80dca4dd4cee26b2fa3a2b4d4a57f82a19e120
- Size of remote file:
- 627 Bytes
- SHA256:
- 4a83272f1b0ef670da99bb62dbce6094b7f78505c09c70be8b5ae8c3d1eba66d
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