Transformers
PyTorch
JAX
TensorBoard
Finnish
t5
text2text-generation
finnish
t5x
seq2seq
ul2
text-generation-inference
Instructions to use Finnish-NLP/ul2-tiny-nl6-finnish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Finnish-NLP/ul2-tiny-nl6-finnish with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Finnish-NLP/ul2-tiny-nl6-finnish") model = AutoModelForSeq2SeqLM.from_pretrained("Finnish-NLP/ul2-tiny-nl6-finnish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a8857414bd2ec3a6e1a1c7d7d010e93138fea67938359ffa45fcb8e57ad358c
- Size of remote file:
- 122 MB
- SHA256:
- e315d6333fc982537bcf8a0adb2dc2a906e3450690fd64ea2b40d8d9c227fcdd
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