Translation
Transformers
PyTorch
Japanese
Ainu (Japan)
t5
text2text-generation
text-generation-inference
Instructions to use Language-Media-Lab/byt5-small-jpn-ain-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Language-Media-Lab/byt5-small-jpn-ain-mt 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="Language-Media-Lab/byt5-small-jpn-ain-mt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Language-Media-Lab/byt5-small-jpn-ain-mt") model = AutoModelForSeq2SeqLM.from_pretrained("Language-Media-Lab/byt5-small-jpn-ain-mt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef8680dedd1a2f2cbdf5d56d748b2ad8600cca5aac9cd2e2b93ee503995b5f56
- Size of remote file:
- 3.12 kB
- SHA256:
- f56982e27b4a05475eb966f9da9ff4d838cb1174efb8c72df3fa9b2f97477e94
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