Instructions to use KashiwaByte/Read_Comprehension_MiniCPM2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use KashiwaByte/Read_Comprehension_MiniCPM2B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("./OpenBMB/MiniCPM-2B-sft-fp32") model = PeftModel.from_pretrained(base_model, "KashiwaByte/Read_Comprehension_MiniCPM2B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea7f7149b4682948b8289c424230c3a191c263cf70b6b38c24957e701d048aca
- Size of remote file:
- 6.9 kB
- SHA256:
- b7e735c3b71b8920eff62f4ebb9286aff541dc7d49bd11fd43e08dbeadd4b1c3
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