Instructions to use CMU-AIR2/math-deepseek_LORA_HardArith_Interm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CMU-AIR2/math-deepseek_LORA_HardArith_Interm 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_HardArith_Interm") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from CMU-AIR2/math-deepseek_LORA_HardArith_Interm: direct link, hf CLI and curl.
- Browser
- Download file 240 MB
-
https://huggingface.co/CMU-AIR2/math-deepseek_LORA_HardArith_Interm/resolve/main/optimizer.pt
- Command line
-
hf download hf://CMU-AIR2/math-deepseek_LORA_HardArith_Interm/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/CMU-AIR2/math-deepseek_LORA_HardArith_Interm/resolve/main/optimizer.pt
240 MB
- Xet hash:
- c35a3fd19adeab216a04744623dc1fa1f08ef9d630eb91cf9b7a7b60450dc6b0
- Size of remote file:
- 240 MB
- SHA256:
- 7cf8943c697998360c8806827f24efee03b88ed48084dbd4d34f651d3d519a00
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