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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b9b9df80df1cfbe717632c6666da3c73e9aab315478d40065e34a05f31730fb
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size 891644800
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