Instructions to use taneeshk12/t5-prompt_to_SQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taneeshk12/t5-prompt_to_SQL with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("taneeshk12/t5-prompt_to_SQL") model = AutoModelForSeq2SeqLM.from_pretrained("taneeshk12/t5-prompt_to_SQL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 142 Bytes
661b4c3 | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"decoder_start_token_id": 0,
"eos_token_id": 1,
"pad_token_id": 0,
"transformers_version": "4.53.1"
}
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