Instructions to use yhavinga/t5-small-24L-dutch-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yhavinga/t5-small-24L-dutch-english with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yhavinga/t5-small-24L-dutch-english") model = AutoModelForSeq2SeqLM.from_pretrained("yhavinga/t5-small-24L-dutch-english") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42b8771cdae49816b0f85f673a187c6c083fe99366b1c6affec9c40302adb939
- Size of remote file:
- 3.16 MB
- SHA256:
- 6877cd49847f3443bde8af119ce0b234a623d088078d49eea42e403df3ec06bc
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