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:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alexandro767/cross_encoder_v13") model = AutoModel.from_pretrained("alexandro767/cross_encoder_v13") - Notebooks
- Google Colab
- Kaggle
Update model metadata to set pipeline tag to the new `text-ranking`
Browse filesHello!
## 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 Aarsen