Instructions to use SaiSiddhanth/llama-2-13b-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SaiSiddhanth/llama-2-13b-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "SaiSiddhanth/llama-2-13b-ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fd4959bcab16955f16ffa1a6528310ba370818c64a56befa7dae38b5c0a3708
- Size of remote file:
- 4.86 kB
- SHA256:
- 08e4f3c1e464304c3209388589bf805583c0cefa440fa033611e1bb3f9402ad0
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