Instructions to use screenmate/minicpm_22.06-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use screenmate/minicpm_22.06-2000 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_22.06-2000") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83040eebb801596e85721e05c44ae1a83469ef7f16a0ed05879341c8a573ce7f
- Size of remote file:
- 7.93 kB
- SHA256:
- 36e7c9edd5220d631361912ab09adaf7d162b8f6c062dfce24f5f894d76b8a87
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