Transformers
PyTorch
TensorFlow
Safetensors
English
bart
text2text-generation
NatSight-AdpSeq2Seq
Text2SQL
Instructions to use C5i/NatSight-bart-base-wikisql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use C5i/NatSight-bart-base-wikisql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("C5i/NatSight-bart-base-wikisql") model = AutoModelForSeq2SeqLM.from_pretrained("C5i/NatSight-bart-base-wikisql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from C5i/NatSight-bart-base-wikisql: direct link, hf CLI and curl.
- Browser
- Download file 2.03 kB
-
https://huggingface.co/C5i/NatSight-bart-base-wikisql/resolve/main/training_args.bin
- Command line
-
hf download hf://C5i/NatSight-bart-base-wikisql/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/C5i/NatSight-bart-base-wikisql/resolve/main/training_args.bin
2.03 kB
- Xet hash:
- 4daa5545a965d9cc2d62163e28a8887ada841362a37cf1287b3c0ba9549f3dab
- Size of remote file:
- 2.03 kB
- SHA256:
- 97444427c961e626907ff0062732c814ab7671c8152533eb6725a0fb16df40c2
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