Instructions to use OpenMatch/AAR-ANCE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/AAR-ANCE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenMatch/AAR-ANCE")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OpenMatch/AAR-ANCE") model = AutoModel.from_pretrained("OpenMatch/AAR-ANCE") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad67394a92b15afc3d9fa01a3510db36ba2132a28b75a094ce5d11ba63ab0be9
- Size of remote file:
- 892 MB
- SHA256:
- 9166cdd90bc0d3c004309ede416af0a2e08849b9bee1780b25ca37f8a859ece2
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