multilingual-hate-speech-xlm-roberta download | Hugging Bay

multilingual-hate-speech-xlm-roberta

Can I run multilingual-hate-speech-xlm-roberta on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 6 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-hate-speech-xlm-roberta is an open-weights language model for text classification. 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 2026-10-22.

Recorded SHA-256 for model.safetensors: a110841fd526a364b21e8ffa8965531a43018b2ebcf7c3fca6510898ab90179e. 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 2026-10-21 · Page text: As of 2026-10-21 · Content revision

Model metadata: As of 2026-09-04 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

sadjava/multilingual-hate-speech-xlm-roberta

Model details

text classificationLicense: mitSHA-256 recorded for 6 of 7 filessafetensors

Content controls: not assessed.

The catalog lists this model for sorting text into categories. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-sadjava-multilingual-hate-speech-xlm-roberta/model.safetensors",
    "model.safetensors",
)

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6 hosted of 7 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors1.11 GB · 1 file Download · 1.11 GB (1 file)

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