Instructions to use VriddhachalamS/Text_to_SQL_BART_spider-three-ep4 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-ep4 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-ep4") model = AutoModelForSeq2SeqLM.from_pretrained("VriddhachalamS/Text_to_SQL_BART_spider-three-ep4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from VriddhachalamS/Text_to_SQL_BART_spider-three-ep4: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/VriddhachalamS/Text_to_SQL_BART_spider-three-ep4/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://VriddhachalamS/Text_to_SQL_BART_spider-three-ep4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/VriddhachalamS/Text_to_SQL_BART_spider-three-ep4/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 15f93def2b4148ba58c82c34248ea7ae8c606f1d4c807a959d58fa9da78ee0ed
- Size of remote file:
- 1.63 GB
- SHA256:
- a34accea2ba3907f1d633bfadee6f0844ce31d65d2aa01a5941446f2e1386cd0
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