Instructions to use pinecone/bert-mrpc-cross-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pinecone/bert-mrpc-cross-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pinecone/bert-mrpc-cross-encoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pinecone/bert-mrpc-cross-encoder") model = AutoModelForSequenceClassification.from_pretrained("pinecone/bert-mrpc-cross-encoder") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
MRPC Cross Encoder
Demo model for use as part of Augmented SBERT chapters of the NLP for Semantic Search course.
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