Instructions to use Amirhparizi/Text_to_SQL_BART_SIMPLE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amirhparizi/Text_to_SQL_BART_SIMPLE with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Amirhparizi/Text_to_SQL_BART_SIMPLE") model = AutoModelForSeq2SeqLM.from_pretrained("Amirhparizi/Text_to_SQL_BART_SIMPLE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Amirhparizi/Text_to_SQL_BART_SIMPLE: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/Amirhparizi/Text_to_SQL_BART_SIMPLE/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Amirhparizi/Text_to_SQL_BART_SIMPLE/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Amirhparizi/Text_to_SQL_BART_SIMPLE/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 88b4554d0a384d577b30dc1a61a83bea22f2495d0c947e6ca2cd965e690c1ee1
- Size of remote file:
- 1.63 GB
- SHA256:
- 8a3d22509be2c0e662d3e0d50f0d37155a4561e2ff6d7d5a76d30621c0d8f714
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