Instructions to use MrezaPRZ/sql-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrezaPRZ/sql-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MrezaPRZ/sql-encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MrezaPRZ/sql-encoder") model = AutoModelForSequenceClassification.from_pretrained("MrezaPRZ/sql-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 998afe518968bb0a84699aca86f50fb1140198c712a9ba03752de8222e799ec8
- Size of remote file:
- 4.66 kB
- SHA256:
- bd13af8fa2ddbbf829c275d4cbd87741a92019a91f464202ec5d2472336e714a
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