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
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:e2804df12920855bd2622391a4a56856ebc01ce0631deaad9a05898408b5023e
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size 891644800
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