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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 836dade633e03cf7e9249d875d49c750b03834bc51802612b554aedf1f4bbdd5
- Size of remote file:
- 2.42 MB
- SHA256:
- c10160cbe0749bf738cb094c246647f2ec4a5f02a5c26a741fa46b4f8174f6c0
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