ai-image-detect-distilled-ONNX
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From language to images, open weights to APIs. Understand capabilities and compare real costs.
Find the right engine for your next idea.
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https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2 with ONNX weights to be compatible with Transformers.js. If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
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This is an ONNX version of gravitee-io/bert-small-pii-detection. It was automatically converted and uploaded using this Hugging Face Space. See the pipeline documentation for `token-classification`: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TokenClassificationPipeline **A more accurate PII detector** fine-tuned from `prajjwal1/bert-small` on the datasets described in metatada.
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This is an ONNX version of BAAI/bge-reranker-base. It was automatically converted and uploaded using this space.
This is an ONNX version of BAAI/bge-reranker-v2-m3. It was automatically converted and uploaded using this space. If you haven't already, you can install the Transformers.js JavaScript library from NPM using:
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Peng Zheng 1,4,5,6 ,  Dehong Gao 2 ,  Deng-Ping Fan 1* ,  Li Liu 3 ,  Jorma Laaksonen 4 ,  Wanli Ouyang 5 ,  Nicu Sebe 6 1 Nankai University  2 Northwestern Polytechnical University  3 National University of Defense Technology  4 Aalto University  5 Shanghai AI Laboratory  6 University of Trento  For more information, check out the official repository.
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Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.
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