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AI Models 84755

• Nova 2.0 Omni (Medium)↗

  Amazon

• Drama-3-Japanese↗

  Aratako

• wav2vec2-large-robust-12-ft-emotion-msp-dim↗

  audeering

  Please note that this model is for research purpose only. A commercial license for a model that has been trained on much more data can be acquired with audEERING. The model expects a raw audio signal as input, and outputs predictions for arousal, dominance and valence in a range of approximately 0...1. In addition, it provides the pooled states of the last transformer layer. The model was created by fine-tuning Wav2Vec2-Large-Robust on MSP-Podcast (v1.7). The model was pruned from 24 to 12 transformer layers before fine-tuning. An ONNX export of the model is available from doi:10.5281/zenodo.6221127. Further details are given in the associated paper and tutorial.

• BERT-Emotions-Classifier↗

  ayoubkirouane

• OrionLLM_GRM-2.6-Plus-0628-GGUF↗

  bartowski

• communicative-baby-rfsemsim↗

  CLAUSE-Bielefeld

• Ternary-Bonsai-2-27B-Abliterated-PQ2_0-GGUF↗

  davetha

• DavidAU.L3.1-Dark-Reasoning-Unholy-Hermes-R1-Uncensored-8B-GGUF↗

  DevQuasar-13

• animal_151_types_image_detection↗

  dima806

• DocumentFigureClassifier-v2.0↗

  docling-project

  This is an image classification model based on **Google EfficientNet-B0**, fine-tuned to classify input images into one of the following 26 categories: 1. **logo** 2. **photograph** 3. **icon** 4. **engineering_drawing** 5. **line_chart** 6. **bar_chart** 7. **other** 8. **table** 9. **flow_chart** 10. **screenshot_from_computer** 11. **signature** 12. **screenshot_from_manual** 13. **geographical_map** 14. **pie_chart** 15. **page_thumbnail** 16. **stamp** 17. **music** 18. **calendar** 19. **qr_code** 20. **bar_code** 21. **full_page_image** 22. **scatter_plot** 23. **chemistry_structure** 24. **topographical_map** 25. **crossword_puzzle** 26. **box_plot**