Instructions to use VriddhachalamS/Text_to_SQL_BART_spider-three-ep5 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-ep5 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-ep5") model = AutoModelForSeq2SeqLM.from_pretrained("VriddhachalamS/Text_to_SQL_BART_spider-three-ep5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from VriddhachalamS/Text_to_SQL_BART_spider-three-ep5: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/VriddhachalamS/Text_to_SQL_BART_spider-three-ep5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://VriddhachalamS/Text_to_SQL_BART_spider-three-ep5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/VriddhachalamS/Text_to_SQL_BART_spider-three-ep5/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 68b5312aec8d616ee7cb738671be5710aed43a9efd2eccca728df084a40bb0c1
- Size of remote file:
- 1.63 GB
- SHA256:
- 4519b736850a7bb51d5b309d31368de51fa38e3b689f34b5a2084b73d3a5f6ed
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