ms-marco-MiniLM-L-6-v2
https://huggingface.co/cross-encoder/ms-marco-MiniLM-L-6-v2 with ONNX weights to be compatible with Transformers.js.
Params
—
Context
512
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710 K
Likes
10
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Specifications
- Architecture
- BertForSequenceClassification
- Context length
- 512
- Vocabulary
- 30,522
- Layers / heads
- 6 / 12
- First seen on the Hub
- 2024-01-04
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-03
Compare with any text-classification model