Instructions to use TanveerSingh182764/LLAMA_math_LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TanveerSingh182764/LLAMA_math_LLM 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, "TanveerSingh182764/LLAMA_math_LLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c88b4217e41d0019d2642029986b7c2396ecf2ba50d9e840602ba7dbe733639a
- Size of remote file:
- 134 MB
- SHA256:
- 5ca2e8a0310e6f566ff9fe0f5d46c27e162a7fe1d64ee82685c9fe2185af232f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.