Transformers
PyTorch
TensorFlow
JAX
TensorBoard
t5
text2text-generation
seq2seq
lm-head
text-generation-inference
Instructions to use flax-community/t5-base-dutch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/t5-base-dutch with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("flax-community/t5-base-dutch") model = AutoModelForSeq2SeqLM.from_pretrained("flax-community/t5-base-dutch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e75b32192f0ec48fd51753b09e19f11f9232edf5a4db5994d1816cea23bea3f6
- Size of remote file:
- 892 MB
- SHA256:
- f102fac4815a8b1b29916b196bfe88a0e5fef76083c6007a5c7966a7fcb9b2d6
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