Instructions to use OpenMatch/t5-ance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/t5-ance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenMatch/t5-ance")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OpenMatch/t5-ance") model = AutoModel.from_pretrained("OpenMatch/t5-ance") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4c48e4411954638d679b7d392308c64b7952491d9f006a1e610290c8669e8a4
- Size of remote file:
- 892 MB
- SHA256:
- 1a1f2c14d4983085caca1f58e31d2746c20c3f56dc940ff936a307e2eb8309cf
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