Transformers
PyTorch
JAX
TensorBoard
Norwegian
t5
text2text-generation
summary
text-generation-inference
Instructions to use pere/norwegian-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/norwegian-t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pere/norwegian-t5") model = AutoModelForSeq2SeqLM.from_pretrained("pere/norwegian-t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0185564ee20ca03ea1c1ac34e52bcb50d7f9d852ceefeb0aecef02fce768ad60
- Size of remote file:
- 242 MB
- SHA256:
- bee55553582886bd5e5706b1c7aabbfbc3c4111f409764f2028f74ce55fe63c5
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