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
| tags: | |
| - autotrain | |
| - translation | |
| - text2sql | |
| - nlqtosql | |
| - texttosql | |
| - nl2sql | |
| language: | |
| - en | |
| datasets: | |
| - spider | |
| co2_eq_emissions: | |
| emissions: 14.712742960025288 | |
| license: apache-2.0 | |
| metrics: | |
| - exact_match | |
| pipeline_tag: translation | |
| # Model Trained Using AutoTrain | |
| - Problem type: Translation | |
| - Model ID: 3073487568 | |
| - CO2 Emissions (in grams): 14.7127 | |
| ## Validation Metrics | |
| - Loss: 0.140 | |
| - SacreBLEU: 77.653 | |
| - Gen len: 42.019 |