Text Generation
PEFT
Safetensors
llama
lora
math
reasoning
adaption
word-problems
sft
conversational
Instructions to use Minutor/adaption_math_word_problem_sub_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Minutor/adaption_math_word_problem_sub_2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Meta-Llama-3.2-3B-Instruct-Reference__TOG__FT") model = PeftModel.from_pretrained(base_model, "Minutor/adaption_math_word_problem_sub_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6b8c33d5fdae2b2e0c683c520b731c81a9f4283285e2b2b3055194560c691ca
- Size of remote file:
- 97.3 MB
- SHA256:
- 2f491a63460ca8c73736d44ecc27a256ce6242ef0f567ca6fe6a92a5238e1efa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.