Instructions to use Peeyush237/it2_en2or_lora_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Peeyush237/it2_en2or_lora_adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/indictrans2-en-indic-1B") model = PeftModel.from_pretrained(base_model, "Peeyush237/it2_en2or_lora_adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bcd9d6198896f10c641780c8ba9a4c962857859c66cc916693de5e0d844bedd
- Size of remote file:
- 759 kB
- SHA256:
- 3cedc5cbcc740369b76201942a0f096fec7287fee039b55bdb956f301235b914
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