Instructions to use TeeA/T5-Text2SQL-Bilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeeA/T5-Text2SQL-Bilingual with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("TeeA/T5-Text2SQL-Bilingual") model = AutoModelForSeq2SeqLM.from_pretrained("TeeA/T5-Text2SQL-Bilingual") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer_config.json +4 -0
tokenizer_config.json
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@@ -931,9 +931,13 @@
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"eos_token": "</s>",
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"extra_ids": 100,
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"legacy": true,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>"
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}
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"eos_token": "</s>",
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"extra_ids": 100,
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"legacy": true,
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"max_length": 512,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"stride": 0,
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"tokenizer_class": "T5Tokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<unk>"
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}
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