Transformers
Safetensors
English
t5
text2text-generation
sql
Eval Results (legacy)
text-generation-inference
Instructions to use juanfra218/text2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juanfra218/text2sql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("juanfra218/text2sql") model = AutoModelForSeq2SeqLM.from_pretrained("juanfra218/text2sql") - Notebooks
- Google Colab
- Kaggle
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README.md
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- `tokenizer_config.json`: Tokenizer configuration settings.
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- `model.safetensors`: Trained model weights.
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- `generation_config.json`: Configuration for text generation.
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- `config.json`: Model architecture configuration.
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- `tokenizer_config.json`: Tokenizer configuration settings.
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- `model.safetensors`: Trained model weights.
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- `generation_config.json`: Configuration for text generation.
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- `config.json`: Model architecture configuration.
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- `test_results.csv`: Results on the testing set, contains: prompt, context, true_answer, predicted_answer, exact_match
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