Instructions to use ml6team/mt5-small-german-query-generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ml6team/mt5-small-german-query-generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ml6team/mt5-small-german-query-generation") model = AutoModelForSeq2SeqLM.from_pretrained("ml6team/mt5-small-german-query-generation") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ff8b251e27556282e2747cd8c96e7bfd9b64e9178a979039dd16ea687686df1
- Size of remote file:
- 1.2 GB
- SHA256:
- e7e74219bb9f5b6e30dcb2d926c8ba86a9818c75527fbfdeb13f0e1615cfbf22
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