Instructions to use NANI-Nithin/MiniCPM5-2B-OpenCodeReasoning2-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NANI-Nithin/MiniCPM5-2B-OpenCodeReasoning2-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openbmb/MiniCPM5-2B") model = PeftModel.from_pretrained(base_model, "NANI-Nithin/MiniCPM5-2B-OpenCodeReasoning2-LoRA") - Notebooks
- Google Colab
- Kaggle
File size: 83 Bytes
d99e912 | 1 2 3 4 5 | {
"train_rows": 50000,
"base_model": "openbmb/MiniCPM5-2B",
"seq_len": 4096
} |