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AI 模型 84759

• t5_translate_en_ru_zh_small_1024↗

  utrobinmv

  This model represents a conventional T5 transformer in multitasking mode for translation into the required language, precisely configured for machine translation for pairs: ru-zh, zh-ru, en-zh, zh-en, en-ru, ru-en. The model can perform direct translation between any pair of Russian, Chinese or English languages. For translation into the target language, the target language identifier is specified as a prefix 'translate to :'. In this case, the source language may not be specified, in addition, the source text may be multilingual.

• Namo-Turn-Detector-v1-English↗

  videosdk-live

• clipseg-rd64-refined↗

  Xenova

• mahjong_soul_vision-onnx↗

  xzhe121

  An ONNX export of pjura/mahjong_soul_vision, a ViT-base image classifier its author fine-tuned to tell the 34 Japanese mahjong tile kinds apart on Mahjong Soul screen crops. Hosted here because the original repository only has PyTorch weights; it is used by an offline mahjong study aid that reads the game window and never touches the game. Apache License 2.0, as the original model; see `LICENSE`. The model was trained by its original author on screenshots of the game Mahjong Soul (pjura/mahjong_souls_tiles). The game art belongs to its owners. This repository contains no images. If you hold rights to the game and want it removed, open a discussion and it will be taken down.

• glm-4v-9b↗

  zai-org

  GLM-4V-9B 是智谱 AI 推出的最新一代预训练模型 GLM-4 系列中的开源多模态版本。 **GLM-4V-9B** 具备 1120 * 1120 高分辨率下的中英双语多轮对话能力，在中英文综合能力、感知推理、文字识别、图表理解等多方面多模态评测中，GLM-4V-9B 表现出超越 GPT-4-turbo-2024-04-09、Gemini 1.0 Pro、Qwen-VL-Max 和 Claude 3 Opus 的卓越性能。

• BiRefNet_dynamic↗

  ZhengPeng7

  > An arbitrary shape adaptable BiRefNet for general segmentation. > This model was trained on arbitrary shapes (256x256 ~ 2304x2304) and shows great robustness on inputs with any shape. > How it looks when compared with BiRefNet-general (fixed 1024x1024 resolution) -- greater than BiRefNet-general and BiRefNet_HR-general on the reserved validation sets (DIS-VD and TE-P3M-500-NP). > The `dynamic_XXxXX` means this BiRefNet_dynamic model was being tested in various input resolutions for the evaluation. For performance of different epochs, check the eval_results-xxx folder for it on my google drive.

• Qwen3-4B-F32-BF16-3MPER0RR-abliterated↗

  3MPER0RR

• ProtGPT3-112M↗

  AI4PD

• speakleash_Bielik-11B-v3.0-Instruct-GGUF↗

  bartowski

• speecht5_tts-wolof↗

  bilalfaye