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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc7ea1adbf2fbae8342c07c3471703a6943c918271926dbad18d0feb6da1e41f
- Size of remote file:
- 2.42 MB
- SHA256:
- 7a6b108af430ab1a0b67d76a4ec0fe1f78bef36f88d93f148dbaead084dc9930
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