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:
- c41ae515e6e99ac20780d264a6ae3f1dc803b5d034d8ccaecb90a9a2dc1bc1d5
- Size of remote file:
- 15.9 kB
- SHA256:
- dd59630c1bdb852bc8af46ce72452426ba9203fc157b6e607e4ae20a1929e6ff
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