Instructions to use CMU-AIR2/deepseek-math-base-LORA-Arithmetic-10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CMU-AIR2/deepseek-math-base-LORA-Arithmetic-10k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-math-7b-base") model = PeftModel.from_pretrained(base_model, "CMU-AIR2/deepseek-math-base-LORA-Arithmetic-10k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38ee120b057d1dd40a895df4264bf72c90ada409c54f203367cfd3dffd141cee
- Size of remote file:
- 4.92 kB
- SHA256:
- 1be9e4a6fddebe2baeb9e6e183911f38479e818f41d36e95f89d75e1e2b3f25c
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