Instructions to use Shivam22182/sqlbard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shivam22182/sqlbard with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shivam22182/sqlbard") model = AutoModelForSeq2SeqLM.from_pretrained("Shivam22182/sqlbard", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9fd0e8ebf6f71405cc83fc8df5bf4cfccb523aa0c2efb9274f9cb844584024c
- Size of remote file:
- 1.63 GB
- SHA256:
- 1e759dff76f2681985f82f6c2fee3a355db953131c26671d81f8abd398e006c8
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