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:
- 13a7d7a990ec95a0b56649fac28e64fd5b40fafffd40999726a38156c97281db
- Size of remote file:
- 180 MB
- SHA256:
- 4dc6403bdfdbcc4670c4cf88b3eaf0fe674a066b5cabe599ff2fc5db59bcded7
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