Instructions to use LiYuan/amazon-cross-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LiYuan/amazon-cross-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LiYuan/amazon-cross-encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LiYuan/amazon-cross-encoder") model = AutoModelForSequenceClassification.from_pretrained("LiYuan/amazon-cross-encoder") - Notebooks
- Google Colab
- Kaggle
Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers`
#2 opened about 1 year ago
by
tomaarsen
Adding `safetensors` variant of this model
#1 opened about 1 year ago
by
SFconvertbot