Instructions to use LilaBoualili/bert-sim-pair with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LilaBoualili/bert-sim-pair with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LilaBoualili/bert-sim-pair")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LilaBoualili/bert-sim-pair") model = AutoModelForSequenceClassification.from_pretrained("LilaBoualili/bert-sim-pair") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bc64b5e22f6cab4c5db1efc108d2c1cfe1b7414177f282879542920a493f552
- Size of remote file:
- 438 MB
- SHA256:
- ad8ff664cc4b855d605f79ed0e1ed8279c9aac91922ac18b05e65847e365461e
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