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
Download pytorch_model.bin from Sumitp/Text_to_SQL_BART_sumit: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/Sumitp/Text_to_SQL_BART_sumit/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Sumitp/Text_to_SQL_BART_sumit/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Sumitp/Text_to_SQL_BART_sumit/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- cb2a4460d1abddc10ca4343fabef37c455af20d8af965599016dbcac5d6b25a3
- Size of remote file:
- 1.63 GB
- SHA256:
- 58f27dd99d9a064029531c9de88c29b16a3793a2a31b965e08b5b2b0813f281f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.