Instructions to use pyterrier-quality/qt5-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyterrier-quality/qt5-tiny with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pyterrier-quality/qt5-tiny") model = AutoModelForSeq2SeqLM.from_pretrained("pyterrier-quality/qt5-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf48c77d7ec694777eef147591dfa4c5ee905d31c1e290506b9ce5e27f16e2d1
- Size of remote file:
- 62.3 MB
- SHA256:
- 4530e29d4ff8e90c6844d45b499c04aaea78b3c64931ef0891e87fd20a2ab9e4
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