Instructions to use WindstormLabs/translate-ja-hu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/translate-ja-hu 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="WindstormLabs/translate-ja-hu")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/translate-ja-hu", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5b00ac21ffeca539aba1f4d780a3103c00db0903828e10a018c7d6158208f30
- Size of remote file:
- 79.5 MB
- SHA256:
- 5241cf1040e8cb685881a92935de3bf68fad1c18b7ead2060927a0788f81eee7
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