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
Add pytorch model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d269f723ebacacac735b87caa4f9ff28c8681feed6856d7b2401ee7d5e11e0f7
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size 3132640293
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