Translation
Transformers
PyTorch
English
t5
text2text-generation
Trained with AutoTrain
text2sql
nlqtosql
texttosql
nl2sql
text-generation-inference
Instructions to use charanhu/text_to_sql_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charanhu/text_to_sql_2 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="charanhu/text_to_sql_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("charanhu/text_to_sql_2") model = AutoModelForSeq2SeqLM.from_pretrained("charanhu/text_to_sql_2") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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emissions: 14.712742960025288
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# Model Trained Using AutoTrain
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emissions: 14.712742960025288
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license: apache-2.0
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metrics:
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# Model Trained Using AutoTrain
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