Instructions to use AdiOO7/llama-2-7B-SolutionGenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AdiOO7/llama-2-7B-SolutionGenerator with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "AdiOO7/llama-2-7B-SolutionGenerator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 60c6a87d0f9a7dbcb78a0d1e8e0614d95bc00efedf3a67cb9e468c4af5257fee
- Size of remote file:
- 33.6 MB
- SHA256:
- e95e753cd5bf2af1fc42d8e9bb4e078c232c0b6bc96173213d98421427b54e9a
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