Summarization
Transformers
PyTorch
JAX
TensorBoard
Dutch
t5
text2text-generation
seq2seq
Eval Results (legacy)
text-generation-inference
Instructions to use yhavinga/t5-v1.1-large-dutch-cnn-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yhavinga/t5-v1.1-large-dutch-cnn-test with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="yhavinga/t5-v1.1-large-dutch-cnn-test")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("yhavinga/t5-v1.1-large-dutch-cnn-test") model = AutoModelForMultimodalLM.from_pretrained("yhavinga/t5-v1.1-large-dutch-cnn-test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 637e6d4f25f343f383bbb06d2e8299483ebbceb3e456d2ebedcbc3165f378cc7
- Size of remote file:
- 3.13 GB
- SHA256:
- b1b7bd8457d90f1af45c642184666338d163025488df7ed0a26e4846c0b21fc5
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