Instructions to use alexandro767/cross_encoder_v13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandro767/cross_encoder_v13 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alexandro767/cross_encoder_v13") model = AutoModel.from_pretrained("alexandro767/cross_encoder_v13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update model metadata to set pipeline tag to the new `text-ranking`
Verified signatureHello! ## Pull Request overview * Update metadata to set pipeline tag to the new `text-ranking` ## Changes This is an automated pull request to update the metadata of the model card. We recently introduced the [`text-ranking`](https://huggingface.co/models?pipeline_tag=text-ranking) pipeline tag for models that are used for ranking tasks, and we have a suspicion that this model is one of them. Feel free to respond if you have questions or concerns. - Tom Aarsenc2f55f0
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