Instructions to use atena77/mt5-small-lower with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use atena77/mt5-small-lower with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("atena77/mt5-small-lower") model = AutoModelForSeq2SeqLM.from_pretrained("atena77/mt5-small-lower", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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fine_tuned_flan_mt5
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Training in progress, epoch 4
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Training in progress, epoch 1
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initial commit
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