Tasks and inputs
facebook/hubert-base-ls960 is listed for Feature extraction. It accepts text and produces embeddings. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
Hugging Face repository for Feature extraction.
The specification score summarizes recorded features and limits. It is not a benchmark result.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
facebook/hubert-base-ls960 is a Hugging Face repository returned by the public Feature extraction task feed. Its recorded download count is 891,819 and it has 74 likes when the repository snapshot was collected. Popularity is useful for discovery, but it is not a performance ranking or a guarantee of suitability.
This record is categorized for Feature extraction. A task category describes the intended machine-learning problem; it does not prove that every version, checkpoint, quantization, or deployment method produces the same quality. Teams should read the model card and test representative inputs before choosing it.
The public repository lists transformers as its library metadata. Its recorded tags include transformers, pytorch, tf, hubert, feature-extraction, speech, en, dataset:librispeech_asr. These source details are retained so readers can trace this directory entry back to the repository instead of relying on copied descriptions.
Confirm tensor shape, pooling and normalization in the runtime you will use. Evaluate the downstream task on held-out data and compare memory and throughput at realistic batch sizes.
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facebook/hubert-base-ls960 is listed for Feature extraction. It accepts text and produces embeddings. Use the publisher’s input format and preprocessing for your chosen deployment.
Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.
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These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
Qwen
Qwen/Qwen3-Embedding-8B is a source-linked Hugging Face repository assigned to Feature extraction. Its recorded task interface accepts text and produces embeddings.
Qwen
Qwen/Qwen3-Embedding-4B is a source-linked Hugging Face repository assigned to Feature extraction. Its recorded task interface accepts text and produces embeddings.
Qwen
Qwen/Qwen3-Embedding-0.6B is a source-linked Hugging Face repository assigned to Feature extraction. Its recorded task interface accepts text and produces embeddings.
BAAI
BAAI/bge-multilingual-gemma2 is a source-linked Hugging Face repository assigned to Feature extraction. Its recorded task interface accepts text and produces embeddings.
Ai2 (Allen Institute for AI)
Hugging Face repository for Feature extraction.
BAAI
Hugging Face repository for Feature extraction.