Translation
Transformers
PyTorch
JAX
TensorBoard
Norwegian Nynorsk
Norwegian
Norwegian Bokmål
t5
text2text-generation
text-generation-inference
Instructions to use north/nynorsk_North_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use north/nynorsk_North_base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="north/nynorsk_North_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("north/nynorsk_North_base") model = AutoModelForSeq2SeqLM.from_pretrained("north/nynorsk_North_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7dd7a856f0afbeaf9a9c5005ddc94c95d441d56e25eb34b02dd769a7fc963422
- Size of remote file:
- 2.33 GB
- SHA256:
- ccc1210fd76181bbbc62376a960db80bccf936f566e260087255b2bb2049536a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.