Translation
Transformers
PyTorch
Enawené-Nawé
Enawené-Nawé
t5
text2text-generation
Trained with AutoTrain
text-generation-inference
Instructions to use charanhu/text_to_sql_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charanhu/text_to_sql_1 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_1")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("charanhu/text_to_sql_1") model = AutoModelForSeq2SeqLM.from_pretrained("charanhu/text_to_sql_1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5984baaf3aa9c578047a85c715bebdae9405c3cb2c6810ab4f5d68b30018a61
- Size of remote file:
- 3.13 GB
- SHA256:
- 3def5cd3c191e26776a858adf4d47117c0e99dbcdcecd163f81d03eb49f98469
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