Translation
Transformers
PyTorch
Ainu (Japan)
Japanese
t5
text2text-generation
text-generation-inference
Instructions to use Language-Media-Lab/byt5-small-ain-jpn-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-ain-jpn-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-ain-jpn-mt")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Language-Media-Lab/byt5-small-ain-jpn-mt") model = AutoModelForSeq2SeqLM.from_pretrained("Language-Media-Lab/byt5-small-ain-jpn-mt") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e53fc5575ae2243c1b4a47021a34a159a7dd51fc9903a0d45707d63d4edf7e1
- Size of remote file:
- 1.2 GB
- SHA256:
- 3debdeffcda5edfc1795c612546e6f06b59f5ae61f9a87fec0c51551a4536d06
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