Instructions to use minhdang/math_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use minhdang/math_ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("PrunaAI/deepseek-ai-deepseek-math-7b-rl-bnb-4bit-smashed") model = PeftModel.from_pretrained(base_model, "minhdang/math_ft") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c73937fff144fd613ab7db4175d1b2ecb3f18c3081596502a94c7e143c1b55e1
- Size of remote file:
- 4.98 kB
- SHA256:
- 4c61646d4db105c4af0d04d541eea37f7508f140e978714839e73367f18dc739
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