Instructions to use OpenMatch/ance-tele_triviaqa_qry-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenMatch/ance-tele_triviaqa_qry-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenMatch/ance-tele_triviaqa_qry-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OpenMatch/ance-tele_triviaqa_qry-encoder") model = AutoModel.from_pretrained("OpenMatch/ance-tele_triviaqa_qry-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd2478a9b3d7a7a1c5d3cd375d198d9198b54a56d7f54535b6a8bb939f2bba56
- Size of remote file:
- 438 MB
- SHA256:
- 4c67f772aaa7796f01df35a17b09e68e18d4574229abab5972dca8499092c9a9
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