Instructions to use GermanT5/t5-efficient-gc4-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-gc4-german-small-el32 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("GermanT5/t5-efficient-gc4-german-small-el32") model = AutoModelForMultimodalLM.from_pretrained("GermanT5/t5-efficient-gc4-german-small-el32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 420b87ec7b2f9f2ceaec6ff8e42aab8024d4bae5c28947b299903bd612dcce57
- Size of remote file:
- 286 MB
- SHA256:
- 46f72bd9af2f5c075e3b1826f73dc34209afb271b2eae19d2ef030c95c5f0316
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