Instructions to use krlng/t5-question-generation-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krlng/t5-question-generation-de with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("krlng/t5-question-generation-de") model = AutoModelForSeq2SeqLM.from_pretrained("krlng/t5-question-generation-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from krlng/t5-question-generation-de: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/krlng/t5-question-generation-de/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://krlng/t5-question-generation-de/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/krlng/t5-question-generation-de/resolve/main/flax_model.msgpack
892 MB
- Xet hash:
- dc62af74aa6fc5cba483398813d87e8567c342cffb5f4a15ab909772d4f4418d
- Size of remote file:
- 892 MB
- SHA256:
- 9ef429e81036ed409261cc3900c3b0929a5f835158b96b8e45103273ecdb0516
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