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:
- f9c78633a24af4e50f92b6adea62d4a391c705bd2ecec5f64f5a9fd5555639d9
- Size of remote file:
- 89.9 MB
- SHA256:
- b8c5824cce21e65493e41f51d5805e3504798bded2db69270d8689b2356eae38
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