Instructions to use kallacharanteja/mt5-small-finetuned-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kallacharanteja/mt5-small-finetuned-medium 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-small-finetuned-medium") - Transformers
How to use kallacharanteja/mt5-small-finetuned-medium with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kallacharanteja/mt5-small-finetuned-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b125e864aa9e6a6d8d8e613836d3ee3394239f1db69f5da368cecb0c0aa3a61e
- Size of remote file:
- 1.03 GB
- SHA256:
- 791227e3199dd5be4eb0cf6c4155d920a13b327a1100dedd087ab598eecd2e9d
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