distilroberta-base-climate-commitment
climatebert基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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distilroberta-base-climate-detector
climatebert基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗distilroberta-base-climate-f
climatebert基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗distilroberta-base-climate-sentiment
climatebert基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗distilroberta-base-climate-specificity
climatebert基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗distilroberta-base-climate-tcfd
climatebert基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗environmental-claims
climatebert基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Diagnostic-Reasoning-Q3X1
Clinical-Reasoning-Hub基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗e5-base-trm-nl
clips基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗e5-base-v2-t2t
clips基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗e5-large-trm-nl
clips基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗e5-small-trm-nl
clips基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗mfaq
clips基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗FineLlama-3.1-8B-GGUF
clodbrasilino基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗CloneLM-Heavy
CloneBOThis is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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View details ↗Peach-2.0-9B-8k-Roleplay
ClosedCharacter基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗brie-v2-qwen2.5-3b
closestfriend基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗antalia-mini
cloud0day3Antalia-2 Mini (version 1.0.1) is a small Turkish text-to-speech model with one voice. It has 7.62M parameters in total (acoustic model 3.69M, vocoder 3.93M), produces 48 kHz audio, and runs well faster than real time on a CPU. It takes raw Turkish text: a text normaliser inside the package turns numbers, dates, times, amounts, initialisms, web addresses and English or brand words into the way a Turkish speaker says them. **Try it in your browser:** huggingface.co/spaces/cloud0day3/antalia-mini runs this release entirely on your device with ONNX Runtime Web (no server; the text never leaves the page). The voice is a synthetic male voice (Antalia-2's voice), not a real person, and the training data contains no recordings of real speakers. The code and the weights are licensed under Apache-2.0. Its predecessor, Antalia-1, is at cloud0day3/antalia-1.
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View details ↗基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗clef
Cloudflare- **Announcement:** Clef decision models on the Cloudflare blog - **Decision Index leaderboard:** clef-evals.workers-ai-mle.workers.dev Clef is a 27B multimodal model that turns a state and a schema of typed questions into decisions. It reads the state as text, JSON, images, or video, and returns a probability for every allowed option of every question in a single forward pass. There is no free-form text generation and no output parsing. Clef is post-trained from Qwen/Qwen3.8-27B. See Clef-Flash for the smaller, faster variant.
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View details ↗clef-flash
Cloudflare- **Announcement:** Clef decision models on the Cloudflare blog - **Decision Index leaderboard:** clef-evals.workers-ai-mle.workers.dev Clef-Flash is a 9B multimodal model that turns a state and a schema of typed questions into decisions. It reads the state as text, JSON, images, or video, and returns a probability for every allowed option of every question in a single forward pass. There is no free-form text generation and no output parsing. Clef-Flash is post-trained from Qwen/Qwen3.5-9B. See Clef for the larger variant.
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View details ↗clef-omni
CloudflareClef-Omni is a 30B-A3B mixture-of-experts multimodal model that turns a state and a schema of typed questions into decisions. It reads the state as text, JSON, images, audio, or video, and returns a probability for every allowed option of every question in a single forward pass. There is no free-form text generation and no output parsing. Clef-Omni is post-trained from Qwen/Qwen3-Omni-30B-A3B-Instruct. See Clef and Clef-Flash for the dense image and video variants. Tested with `torch` 2.11 and `transformers` 5.10.2 on a single H200; the backbone needs about 64 GB of GPU memory in bfloat16. Image inputs also need `pillow`, and audio and video files need `av`.
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View details ↗AgentHorse-4B
CloudGoat基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Baphomet-1.0-4B
CloudGoat基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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