Instructions to use Sumitp/Text_to_SQL_BART_sumit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sumitp/Text_to_SQL_BART_sumit with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sumitp/Text_to_SQL_BART_sumit") model = AutoModelForSeq2SeqLM.from_pretrained("Sumitp/Text_to_SQL_BART_sumit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload BartForConditionalGeneration
d807733
-
Upload tokenizer
8dd31fe -
Upload BartForConditionalGeneration
0ced22d
-
Upload tokenizer
bfcf0d7 -
Upload BartForConditionalGeneration
1245127 -
Upload tokenizer
90e39e0 -
Upload BartForConditionalGeneration
83d41e8 -
Upload tokenizer
3b424f9 -
Upload BartForConditionalGeneration
070887a -
initial commit
99436af