Translation
Transformers
PyTorch
JAX
TensorBoard
Norwegian Nynorsk
Norwegian
Norwegian Bokmål
t5
text2text-generation
text-generation-inference
Instructions to use north/nynorsk_North_small_long with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use north/nynorsk_North_small_long 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_small_long")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("north/nynorsk_North_small_long") model = AutoModelForSeq2SeqLM.from_pretrained("north/nynorsk_North_small_long", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from north/nynorsk_North_small_long: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/north/nynorsk_North_small_long/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://north/nynorsk_North_small_long/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/north/nynorsk_North_small_long/resolve/main/flax_model.msgpack
1.2 GB
- Xet hash:
- f9b43302464fe8dd36d71b8a03a473875f7810ac2d9fd7ee84d84e4306df0908
- Size of remote file:
- 1.2 GB
- SHA256:
- 2092700b78ce60d7724b82df50270465bc60ca219a8fa493afca4614b0f7f0f8
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