Translation
Transformers
PyTorch
Enawené-Nawé
Enawené-Nawé
t5
text2text-generation
Trained with AutoTrain
text-generation-inference
Instructions to use charanhu/text_to_sql_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charanhu/text_to_sql_4 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_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("charanhu/text_to_sql_4") model = AutoModelForSeq2SeqLM.from_pretrained("charanhu/text_to_sql_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cce86b2d158741a273d50d5deae30fa8197b75be78e28dd282d568f7e55f623
- Size of remote file:
- 3.13 GB
- SHA256:
- de5121fad3f9f54278b6bcce06bd7f240b5c443c30861a13778b1071bb788e14
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