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vectoriseai

multilingual-e5-large

Can I run multilingual-e5-large on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 11 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

multilingual-e5-large is an embedding model for text embeddings. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on .

Recorded SHA-256 for model.safetensors: 020afdebf2762b29fcaf286629a96c3b3b65af241f6a08226b1cfee60a21def6. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated · Page text: As of · Content revision

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

vectoriseai/multilingual-e5-large
Model details
text embeddingsLicense: mitSHA-256 recorded for 15 of 16 filessafetensors · ONNX · BIN

Content controls: not assessed.

The catalog lists this model for turning text into vectors. Catalog sources: license, cardMetadata.license, cardMetadata.libraryName, modality, task, cardMetadata.pipelineTag.

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