Translation
Transformers
PyTorch
JAX
TensorBoard
Norwegian
t5
text2text-generation
text-generation-inference
Instructions to use north/demo-deuncaser-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use north/demo-deuncaser-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/demo-deuncaser-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("north/demo-deuncaser-base") model = AutoModelForSeq2SeqLM.from_pretrained("north/demo-deuncaser-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from north/demo-deuncaser-base: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/north/demo-deuncaser-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://north/demo-deuncaser-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/north/demo-deuncaser-base/resolve/main/flax_model.msgpack
2.33 GB
- Xet hash:
- f8f3d3949d39f2ecc5c841782d7306d449996852592392ce1d9acd16db989241
- Size of remote file:
- 2.33 GB
- SHA256:
- 06e968385c0d1dbade8052c51335df6313da39a0cf18731f44d85eb8a818a586
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