Instructions to use mikekubi/task-1-meta-llama-Llama-2-7b-chat-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mikekubi/task-1-meta-llama-Llama-2-7b-chat-hf with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "mikekubi/task-1-meta-llama-Llama-2-7b-chat-hf") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db49619588c4392825f86f86149d2d700313416699da880080129d8c1817953d
- Size of remote file:
- 8.41 MB
- SHA256:
- b4155e5d35d1941bd8a813c2b8222b16d5489052cbda619b64021722b17ae2af
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