Instructions to use vvn/Text_to_SQL_BART_spider-three-ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vvn/Text_to_SQL_BART_spider-three-ep with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vvn/Text_to_SQL_BART_spider-three-ep") model = AutoModelForSeq2SeqLM.from_pretrained("vvn/Text_to_SQL_BART_spider-three-ep") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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batch_size = 8
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weight_decay = 0.01
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max_input_length = 256
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max_target_length = 256
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batch_size = 8
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weight_decay = 0.01
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max_input_length = 256
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max_target_length = 256
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"model name" : "facebook/bart-large-cnn"
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