Instructions to use chaimag/llama2-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chaimag/llama2-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "chaimag/llama2-7b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5db4d7d477447585abf6ed05b2cdf04ba3f92d97187fe5ebde1eeea26c80b3db
- Size of remote file:
- 134 MB
- SHA256:
- 2d1536e170b9107d1955cf99058ba41d22df984a61cb5a0f95160c9511a6f88f
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