Instructions to use MSGEncrypted/minicpm5-1b-math-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MSGEncrypted/minicpm5-1b-math-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM5-1B") model = PeftModel.from_pretrained(base_model, "MSGEncrypted/minicpm5-1b-math-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d29df5f774b658bbc2396d6afc6afb8bd548e8f0212b0d561e9fc82be1aca7ed
- Size of remote file:
- 5.2 kB
- SHA256:
- f472359513759eb48389708123f1d100f299bb3edd283fefda43dd315dad87b8
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