Instructions to use GermanT5/t5-efficient-oscar-german-small-el32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GermanT5/t5-efficient-oscar-german-small-el32 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("GermanT5/t5-efficient-oscar-german-small-el32") model = AutoModelForSeq2SeqLM.from_pretrained("GermanT5/t5-efficient-oscar-german-small-el32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fedd58ed1f8a56347d60233e7872f3c3d0b04252cb847fd9a3165befa756ef7
- Size of remote file:
- 569 MB
- SHA256:
- 4ee7e9f7f3c2a2e9584fb1b3a9ab57ffb551ed2126cb31bf018e44086fbea318
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