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:
- c2368d3fa3d070f33c5c1addf9677f57da313e599ca216389161f3959b813007
- Size of remote file:
- 3.96 kB
- SHA256:
- 5160cf2710c5ddc9c05c133318815eb2f597c109cf066669e89ecfe2bc32ff21
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