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:
- 9751ca30ac977ce7d905f4dc50a7ba2346c4a98417ab181d3306ba18fd06d9ad
- Size of remote file:
- 4.79 kB
- SHA256:
- 6da3453c98a46bc995bdabb7994230ae16ec621899ce235ab6d6538a1787feb2
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