Instructions to use simlamkr1/llama2-simtestmodel1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use simlamkr1/llama2-simtestmodel1 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, "simlamkr1/llama2-simtestmodel1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f3885ac5e491a5c0f0ca379a3c87966f8c42066bad5f059ab366b73d32b540b
- Size of remote file:
- 4.03 kB
- SHA256:
- 41a12b339d9535eac5561489bffc4d94f100a40a6c7956688658176fee56275a
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