Text Generation
PEFT
Safetensors
Chinese
lora
translation
classical-chinese
modern-chinese
conversational
Instructions to use emiya111/EmiyaMind-Qwen3-1.7B-Wenyan-Full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emiya111/EmiyaMind-Qwen3-1.7B-Wenyan-Full with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B") model = PeftModel.from_pretrained(base_model, "emiya111/EmiyaMind-Qwen3-1.7B-Wenyan-Full") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43dce06c6c724109f361e8acafb45ed4f1c563c95957ae51707664ef68290023
- Size of remote file:
- 69.8 MB
- SHA256:
- 19f78f168a3f925bab2ca775c51069f647d28107ba65e71e379a38bde5c1e56b
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