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:
- 428ba7705e3d12521a00b9cd6977d8f8f0ed2ad28782cb98fbcc3ec229f15905
- Size of remote file:
- 1.47 kB
- SHA256:
- f847bf189265d8eee7da89b2c635bd5ad82bf85f644dadbc5646ac3ed438aa14
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