Text Generation
PEFT
Safetensors
Hindi
English
qwen3_5
lora
transliteration
hinglish
hindi
code-switching
devanagari
asr-postprocessing
adaption
autoscientist
conversational
Instructions to use bingbangboom/adaption-hinglish-transliterate-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bingbangboom/adaption-hinglish-transliterate-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "bingbangboom/adaption-hinglish-transliterate-LoRA") - Notebooks
- Google Colab
- Kaggle
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# adaption-hinglish-transliterate-LoRA
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A LoRA adapter for **Qwen/Qwen3.5-0.8B** that transliterates raw, ASR-captured Hindi (Devanagari script) into clean **[Hinglish](https://en.wikipedia.org/wiki/Hinglish)** (Hindi written in Roman script), following the Anglicized Hinglish convention. See demo at [bingbangboom/adaption-hinglish-transliterate](https://huggingface.co/spaces/bingbangboom/adaption-hinglish-transliterate)
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> This model was published as a submission to the [AutoScientist Challenge](https://adaptionlabs.ai/blog/autoscientist-challenge) in the Language Category.
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# adaption-hinglish-transliterate-LoRA
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A LoRA adapter for **Qwen/Qwen3.5-0.8B** that transliterates raw, ASR-captured Hindi (Devanagari script) into clean **[Hinglish](https://en.wikipedia.org/wiki/Hinglish)** (Hindi written in Roman script), following the Anglicized Hinglish convention. See demo at [bingbangboom/adaption-hinglish-transliterate](https://huggingface.co/spaces/bingbangboom/adaption-hinglish-transliterate) and the general training process flow at [X.com](https://x.com/dingchilling/status/2072854912741093712?s=20)
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> This model was published as a submission to the [AutoScientist Challenge](https://adaptionlabs.ai/blog/autoscientist-challenge) in the Language Category.
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