Instructions to use qgallouedec/tiny-T5ForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qgallouedec/tiny-T5ForConditionalGeneration with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("qgallouedec/tiny-T5ForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("qgallouedec/tiny-T5ForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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