Transformers
PyTorch
TensorFlow
JAX
TensorBoard
Safetensors
Dutch
t5
text2text-generation
seq2seq
text-generation-inference
Instructions to use yhavinga/t5-base-dutch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yhavinga/t5-base-dutch with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yhavinga/t5-base-dutch") model = AutoModelForSeq2SeqLM.from_pretrained("yhavinga/t5-base-dutch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5414a8265a51843d11b162229fe11ed6bc07aa569b24f17461b7adbf6c595a0a
- Size of remote file:
- 892 MB
- SHA256:
- 3083c65d23d0521977a9739022c8e48f3ee1094d43317b150cf044f1451cfd9c
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