Instructions to use cfli/minicpm_mixture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cfli/minicpm_mixture with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM-2B-dpo-fp32") model = PeftModel.from_pretrained(base_model, "cfli/minicpm_mixture") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 108799bb121fc25d4884dc56a739522be12f42ff7ade05574751dd80fd4c2501
- Size of remote file:
- 6.39 kB
- SHA256:
- febb2dbaf45d4f071349d31fa473895dd908afc0112b168d9a90fe23706c9fec
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