Instructions to use DMetaSoul/nl2sql-schema-linking-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DMetaSoul/nl2sql-schema-linking-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DMetaSoul/nl2sql-schema-linking-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DMetaSoul/nl2sql-schema-linking-base") model = AutoModelForMaskedLM.from_pretrained("DMetaSoul/nl2sql-schema-linking-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download dense_classifier.pt from DMetaSoul/nl2sql-schema-linking-base: direct link, hf CLI and curl.
- Browser
- Download file 2.37 GB
-
https://huggingface.co/DMetaSoul/nl2sql-schema-linking-base/resolve/main/dense_classifier.pt
- Command line
-
hf download hf://DMetaSoul/nl2sql-schema-linking-base/dense_classifier.pt
-
curl -L -o dense_classifier.pt https://huggingface.co/DMetaSoul/nl2sql-schema-linking-base/resolve/main/dense_classifier.pt
2.37 GB
- Xet hash:
- bf0aa68a8abe2bf1909cee9c2bd69b324deb0f68d37eddbc3d36c72b55c48604
- Size of remote file:
- 2.37 GB
- SHA256:
- 945d70ab63af4e8758466b4418408eee66e879afe363f528d4b68041d691a949
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