Text Generation
PEFT
Safetensors
Mongolian
mongolian
subtitle
asr-postprocessing
text-correction
lora
conversational
Eval Results (legacy)
Instructions to use Tsedee/mongol-editor-llm-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tsedee/mongol-editor-llm-v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/workspace/qwen35-4b-claude") model = PeftModel.from_pretrained(base_model, "Tsedee/mongol-editor-llm-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 458bcbf483ed805b4297af928f717e64bd00c633a07be5fae5717cacbd48e2ef
- Size of remote file:
- 20 MB
- SHA256:
- 87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
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