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AI Models 84759

• pythia-160m-weight-seed2↗

  EleutherAI

• distilbert-nsfw-text-classifier↗

  eliasalbouzidi

  This model is designed to categorize text into two classes: "safe", or "nsfw" (not safe for work), which makes it suitable for content moderation and filtering applications. The model was trained using a dataset containing 190,000 labeled text samples, distributed among the two classes of "safe" and "nsfw". To improve the performance of the model, it is necessary to preprocess the input text. You can refer to the preprocess function in the app.py file in the following space: .

• mmBERT-small-multi-wiki-qa-synthetic-hallucinations-with-ragtruth-fi↗

  EuroEval

• fasttext-war-vectors↗

  facebook

• mms-tts-cso↗

  facebook

• mms-tts-mnb↗

  facebook

• mms-tts-nuj↗

  facebook

• mms-tts-pse↗

  facebook

• MobileLLM-ParetoQ-350M-1-bit↗

  facebook

• Qwen3-4B-Instruct-2507-NPU2↗

  FastFlowLM