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:
# pip install -U transformers accelerate # 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
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README.md
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**5 jan 2022: Model updated. Evaluation accuracy increased from 0.64 to 0.70.**
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## Model
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* Configuration based on `google/t5-base`
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**5 jan 2022: Model updated. Evaluation accuracy increased from 0.64 to 0.70.**
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**11 jan 2022: See also [yhavinga/t5-v1.1-base-dutch-cased](https://huggingface.co/yhavinga/t5-v1.1-base-dutch-cased) with eval acc 0.78**
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## Model
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* Configuration based on `google/t5-base`
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