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
Commit History
-
Uploaded checkpoint-30000
Verified signature80edba6 -
Uploaded checkpoint-27500
Verified signature648c0e7 -
Uploaded checkpoint-25000
Verified signaturec314172 -
Uploaded checkpoint-22500
Verified signaturef388348
-
Uploaded checkpoint-20000
Verified signature6e9c399 -
Uploaded checkpoint-17500
Verified signature0fe8e14 -
Uploaded checkpoint-15000
Verified signature999a0d0 -
Uploaded checkpoint-12500
Verified signaturefdca448 -
Uploaded checkpoint-10000
Verified signature8ef6d44 -
Uploaded checkpoint-7500
Verified signature99e0448 -
Uploaded checkpoint-5000
Verified signature3b458c3 -
Uploaded checkpoint-2500
Verified signaturebfb701b