Instructions to use OpenMatch/AAR-ANCE-KILT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/AAR-ANCE-KILT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenMatch/AAR-ANCE-KILT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OpenMatch/AAR-ANCE-KILT") model = AutoModel.from_pretrained("OpenMatch/AAR-ANCE-KILT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d006cc29cc8aa26bddd17815b362cdc13e5b4042f02678b035e4313da6852ff
- Size of remote file:
- 892 MB
- SHA256:
- bf073b4b317c7aa02fa2b74d9c0805ed5d43fa277ec2b43b1cbb22f2faafd613
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