Instructions to use VriddhachalamS/Text_to_SQL_BART_spider-three-ep1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VriddhachalamS/Text_to_SQL_BART_spider-three-ep1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("VriddhachalamS/Text_to_SQL_BART_spider-three-ep1") model = AutoModelForSeq2SeqLM.from_pretrained("VriddhachalamS/Text_to_SQL_BART_spider-three-ep1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from VriddhachalamS/Text_to_SQL_BART_spider-three-ep1: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/VriddhachalamS/Text_to_SQL_BART_spider-three-ep1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://VriddhachalamS/Text_to_SQL_BART_spider-three-ep1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/VriddhachalamS/Text_to_SQL_BART_spider-three-ep1/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 491e584d95ed5459aa4c70200e221c0517e09da8f647f9b8c4a27b401ad556e6
- Size of remote file:
- 1.63 GB
- SHA256:
- 78ed3bd709b1ef98c1d4d2d8d1d11f9a1657a7059ac3a2539c739d91c330ffda
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