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:
- f606ac2c86ff2e4065823642597b571e8a569f69c24ae6c77ab944bb205dd66c
- Size of remote file:
- 5.2 kB
- SHA256:
- c132835da72e5a98a55da309abaadcb858dfcd4c53b6c7dfaf23d45de30ee7a7
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