Instructions to use screenmate/minicpm_first_run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use screenmate/minicpm_first_run with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM-Llama3-V-2_5") model = PeftModel.from_pretrained(base_model, "screenmate/minicpm_first_run") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de659c35714cf40ee37ed7e1fb1f8fa5bc07fc16a3413573262cc3b3524f4680
- Size of remote file:
- 7.67 kB
- SHA256:
- 6851177fa911dbc05a27763e030a149ca4729a01dcac949ede258882b36a5130
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