Instructions to use bangnbx/t5-small-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bangnbx/t5-small-256 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bangnbx/t5-small-256") model = AutoModelForSeq2SeqLM.from_pretrained("bangnbx/t5-small-256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Info
Checkpoint 256
Wandb details: https://wandb.ai/bangnbx/text-to-sql-2/runs/b8ce44g0
Exact Match: 31.62% (max 45.84%)
Quite stable from step 768 (44.87%)
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