Instructions to use Yanghl0526/exesql_postgres with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yanghl0526/exesql_postgres with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Yanghl0526/exesql_postgres", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Yanghl0526/exesql_postgres: direct link, hf CLI and curl.
- Browser
- Download file 7.5 MB
-
https://huggingface.co/Yanghl0526/exesql_postgres/resolve/main/tokenizer.json
- Command line
-
hf download hf://Yanghl0526/exesql_postgres/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Yanghl0526/exesql_postgres/resolve/main/tokenizer.json
7.5 MB
- Xet hash:
- 5c90f1a49c94e7020d1049b8af864411a22e885f720c64911254c4a2cf614b64
- Size of remote file:
- 7.5 MB
- SHA256:
- 381318f42e79409f4352748fc74aa8e7d440bc02c5451a8d2896dbf00bd676d3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.