Instructions to use kallacharanteja/mt5-version4-Hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kallacharanteja/mt5-version4-Hindi with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/mt5-small") model = PeftModel.from_pretrained(base_model, "kallacharanteja/mt5-version4-Hindi") - Transformers
How to use kallacharanteja/mt5-version4-Hindi with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kallacharanteja/mt5-version4-Hindi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58962a99d3dc94c045e77cf96f197c40bce30a80784002e3a6dd00ee04a77236
- Size of remote file:
- 16.4 MB
- SHA256:
- c6512086a6e711594584a7cd5979379bb53696df264b03c87f7d25320258716d
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