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

- Xet hash:
- a9db58fe8d86cc1e6cab9f435c1598bef86c246304aa9f38a49e2b39aa6a3629
- Size of remote file:
- 103 kB
- SHA256:
- 0a6b4b320b4878acfe4113493db711968d85076b544272663279726e537482d8
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