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:
- 15e77ce28593778d569f4df47c53e63f8166fb967a32542b525ceedcda558791
- Size of remote file:
- 5.2 kB
- SHA256:
- dd65839e9bd18646e61b40ae83f868c453857ea4d9939b9fd348d8bf2becd23e
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