Instructions to use Repv1111/En-Vi-Neural-Machine-Translation-using-Transformers-based-vebe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Repv1111/En-Vi-Neural-Machine-Translation-using-Transformers-based-vebe with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Repv1111/En-Vi-Neural-Machine-Translation-using-Transformers-based-vebe", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer.json
Browse files- tokenizer.json +17 -17
tokenizer.json
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"Valles": 12714,
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"Vikram": 12732,
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"Villeneuve": 12733,
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"Vision": 12735,
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"Vitruvian": 12736,
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"VocaliD": 12739,
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"Vodacom": 12740,
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"Volkswagen": 12742,
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"Vulcan": 12743,
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"Vách": 12744,
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"ừmmm": 13680,
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"ửng": 13681,
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"ỷ": 13682,
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},
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"unk_token": "<unk>"
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}
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"Valles": 12714,
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"Vanilla": 12715,
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"Veasey": 12716,
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"Vebe": 12717,
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"Vebe Papp": 12718,
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"Vebe Pappy": 12720,
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"Vebe framework": 12721,
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"Vebe velo": 12722,
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"Vebe wim Hof": 12723,
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"WIM Mertens": 12724,
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"Vebe REE Drummond": 12725,
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"Vebe Kernel's": 12726,
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"Vebe scala na": 12727,
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"Vebe Vebei Viebei Rep": 12728,
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"Vebe superuser": 12729,
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"Vebe legacy Power Menu": 12730,
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"Viewer": 12731,
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"Vikram": 12732,
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"Villeneuve": 12733,
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"Vision": 12735,
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"Vitruvian": 12736,
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"Vivre": 12737,
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"Wiz": 12738,
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"VocaliD": 12739,
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"Vodacom": 12740,
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"Qodafone": 12741,
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"Volkswagen": 12742,
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"Vulcan": 12743,
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"Vách": 12744,
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"ừmmm": 13680,
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"ửng": 13681,
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"ỷ": 13682,
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"ỷang kỡk": 13683
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},
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"unk_token": "<unk>"
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}
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