Instructions to use MrezaPRZ/bigbird-sql-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrezaPRZ/bigbird-sql-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MrezaPRZ/bigbird-sql-encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MrezaPRZ/bigbird-sql-encoder") model = AutoModelForSequenceClassification.from_pretrained("MrezaPRZ/bigbird-sql-encoder") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d51451a021965da8530ea84ed81288e3accefd3de743f5c68c5b693aca3c0cf
- Size of remote file:
- 512 MB
- SHA256:
- e122f69b7729b9406e0260aa91908be9689f0ebe793e776293966c7e8f2a682b
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