All miniLM L6 V2 With Attentions
Qdrant/all_miniLM_L6_v2_with_attentions is an ONNX export of the sentence-transformers/all-MiniLM-L6-v2 model that has been adjusted to return attention weights. It belongs to the class of sentence similarity and text embedding models hosted on Hugging Face. The model is intended for BM42 searches and is supposed to be used with Qdrant.
It supports loading via the Transformers library with AutoTokenizer and AutoModel, including an example that runs the model on automatic device mapping. An inference example with FastEmbed is also provided. The model card lists it under the tasks of sentence similarity, feature extraction, and text embeddings inference, with English as the language and the bert architecture.
The model carries an Apache 2.0 license. It is published by the organization Qdrant on the Hugging Face platform, where it can be deployed or copied to a bucket. No pricing information is stated because the model is openly available for download and local or hosted inference.
Overview
3 featuresIn the Embeddings & retrieval space, All miniLM L6 V2 With Attentions takes a focused approach. It focuses on providing attention-aware embeddings for hybrid search and retrieval in vector databases like Qdrant. All miniLM L6 V2 With Attentions is an open-source project aimed at developers. All miniLM L6 V2 With Attentions is open source under the Apache-2.0 license. It runs on the web and API.
Qdrant builds and maintains All miniLM L6 V2 With Attentions, and it first shipped in 2023. The project is developed in the open on GitHub with 3.1k stars and 4 commits in the last 90 days. Among its 3 catalogued features are Sentence Embeddings, Attention Weights, and BM42 Search.
Summary written by a language model from the project’s public pages.
- Sentence Embeddings
- Attention Weights
- BM42 Search
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed21 Jul · 17:09 UTCQdrant/all_miniLM_L6_v2_with_attentions verified against its public sourceSource: PulseGate · Open
Frequently asked questions about All miniLM L6 V2 With Attentions
- What does All miniLM L6 V2 With Attentions do?
- All miniLM L6 V2 With Attentions focuses on providing attention-aware embeddings for hybrid search and retrieval in vector databases like Qdrant. It is catalogued under Embeddings & retrieval on PulseGate.
- Who should use All miniLM L6 V2 With Attentions?
- All miniLM L6 V2 With Attentions is an open-source project built for developers.
- Does All miniLM L6 V2 With Attentions have a free plan?
- Yes — All miniLM L6 V2 With Attentions is open source under the Apache-2.0 license and free to use.
- What platforms does All miniLM L6 V2 With Attentions run on?
- All miniLM L6 V2 With Attentions runs on the web and API.
- Is All miniLM L6 V2 With Attentions still active?
- The GitHub repository shows 4 commits in the last 90 days.
- What are alternatives to All miniLM L6 V2 With Attentions?
- Similar projects tracked by PulseGate include All MiniLM L6, Paraphrase Multilingual MiniLM L12 V2 Onnx Q, and All MiniLM L6.All MiniLM L6Paraphrase Multilingual MiniLM L12 V2 Onnx QAll MiniLM L6
- Who makes All miniLM L6 V2 With Attentions?
- All miniLM L6 V2 With Attentions is developed by Qdrant.
- How long has All miniLM L6 V2 With Attentions been around?
- All miniLM L6 V2 With Attentions first shipped in 2023.
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