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:
- 0cef8e00c27e95e4c2d216f8d42e0f9af06833c8820889c2da0ecc9d81094ef5
- Size of remote file:
- 180 MB
- SHA256:
- da736af699c86703b742434ea40618d38ffa85320a34d95c1bbcb7e5da923310
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