Instructions to use ArunIcfoss/mt5-base-ICFOSS-malayalam_Hindi_Translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ArunIcfoss/mt5-base-ICFOSS-malayalam_Hindi_Translator with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-base") model = PeftModel.from_pretrained(base_model, "ArunIcfoss/mt5-base-ICFOSS-malayalam_Hindi_Translator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0854612bef544c9d957462f21196c65155a8b5310ddf0ab791189beb91b59123
- Size of remote file:
- 13.6 MB
- SHA256:
- f9428b7e07e3a469484ebe56991889bed8fcd2de616accc1594df3c4dfc039b7
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