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:
- cec1fce00a6e5d76cebaac6ca3c1936baf554c547fadddf1db696296514163e3
- Size of remote file:
- 4.66 kB
- SHA256:
- 7cea1a052dc752832722ff9093e15e1fbdb7460eff9998a60176777943c57481
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