Instructions to use CMU-AIR2/math-deepseek-lora-hard-arith with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CMU-AIR2/math-deepseek-lora-hard-arith with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-instruct") model = PeftModel.from_pretrained(base_model, "CMU-AIR2/math-deepseek-lora-hard-arith") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from CMU-AIR2/math-deepseek-lora-hard-arith: direct link, hf CLI and curl.
- Browser
- Download file 1.37 MB
-
https://huggingface.co/CMU-AIR2/math-deepseek-lora-hard-arith/resolve/main/tokenizer.json
- Command line
-
hf download hf://CMU-AIR2/math-deepseek-lora-hard-arith/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/CMU-AIR2/math-deepseek-lora-hard-arith/resolve/main/tokenizer.json
1.37 MB
File too large to display, you can check the raw version instead.