Text Ranking
Transformers
Safetensors
English
deberta-v2
text-classification
text-embeddings-inference
Instructions to use scroskey/cross-encoder-stsb-deberta-v3-xsmall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scroskey/cross-encoder-stsb-deberta-v3-xsmall with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("scroskey/cross-encoder-stsb-deberta-v3-xsmall") model = AutoModelForSequenceClassification.from_pretrained("scroskey/cross-encoder-stsb-deberta-v3-xsmall") - Notebooks
- Google Colab
- Kaggle
Update model metadata to set pipeline tag to the new `text-ranking`
#1
by tomaarsen HF Staff - opened
Hello!
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 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
scroskey changed pull request status to merged