Translation
Transformers
PyTorch
Enawené-Nawé
Enawené-Nawé
t5
text2text-generation
Trained with AutoTrain
text-generation-inference
Instructions to use charanhu/text_to_sql_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charanhu/text_to_sql_3 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_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("charanhu/text_to_sql_3") model = AutoModelForSeq2SeqLM.from_pretrained("charanhu/text_to_sql_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - autotrain | |
| - translation | |
| language: | |
| - unk | |
| - unk | |
| datasets: | |
| - charanhu/autotrain-data-text_to_sql_finetune | |
| co2_eq_emissions: | |
| emissions: 20.566492426746724 | |
| # Model Trained Using AutoTrain | |
| - Problem type: Translation | |
| - Model ID: 3073487570 | |
| - CO2 Emissions (in grams): 20.5665 | |
| ## Validation Metrics | |
| - Loss: 0.160 | |
| - SacreBLEU: 76.002 | |
| - Gen len: 38.850 |