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<h2 style="color: #FFFFFF; font-weight: 500; border-bottom: 1px solid #333333; padding-bottom: 8px; margin-top: 32px;">Key Highlights</h2>
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Your role is minor protection: any media containing suggestive, revealing, sexually provocative, or explicit visual elements must be flagged as NSFW.
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<h2 style="color: #FFFFFF; font-weight: 500; border-bottom: 1px solid #333333; padding-bottom: 8px; margin-top: 32px;">Quick Start with Transformers</h2>
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pip install accelerate</pre>
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import torch
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model = Qwen3_5ForConditionalGeneration.from_pretrained(
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</div>
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<h2 style="color: #FFFFFF; font-weight: 500; border-bottom: 1px solid #333333; padding-bottom: 8px; margin-top: 32px;">Training Details</h2>
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<h2 style="color: #FFFFFF; font-weight: 500; border-bottom: 1px solid #333333; padding-bottom: 8px; margin-top: 32px;">Intended Use</h2>
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<h2 style="color: #FFFFFF; font-weight: 500; border-bottom: 1px solid #333333; padding-bottom: 8px; margin-top: 32px;">Limitations</h2>
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<h2 style="color: #FFFFFF; font-weight: 500; border-bottom: 1px solid #333333; padding-bottom: 8px; margin-top: 32px;">Acknowledgements</h2>
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<h2 style="color: #FFFFFF; font-weight: 500; border-bottom: 1px solid #333333; padding-bottom: 8px; margin-top: 32px;">Key Highlights</h2>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Qwen 3.5 Foundation</b>: Built on <b>Qwen/Qwen3.5-4B</b>.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Multimodal Content Filter</b>: Designed for visual content-safety classification.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>ImageShield-Guardrail-Pro Training</b>: Fine-tuned on the <b>prithivMLmods/ImageShield-Guardrail-Pro</b> content-safety guardrail dataset.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Safe / Unsafe Classification</b>: Classifies visual content as either <b>Safe</b> or <b>Unsafe</b>.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>NSFW Sensual Content Detection</b>: Focused on identifying potentially <b>Not Safe for Work (NSFW) sensual content</b> and related sensitive visual material.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Explicit & Sensitive Content Detection</b>: Excels at identifying explicit, revealing, provocative, and otherwise potentially sensitive visual content.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Dress-Code Analysis</b>: Performs detailed analysis of clothing, dress codes, exposure, and revealing garments.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Pose Analysis</b>: Analyzes body poses, positioning, framing, and potentially suggestive presentation.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Context & Setting Analysis</b>: Considers different visual settings and contextual cues when determining content safety.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Zero-Tolerance Safety Classification</b>: Uses a conservative classification policy that favors safety when the content is ambiguous.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Structured Output</b>: Produces a machine-readable JSON response containing a caption, classification, and reasoning.</span></div>
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<details style="border: 1px solid #333333; border-radius: 4px; margin-bottom: 16px; overflow: hidden; background-color: #000000;">
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<summary style="padding: 14px 16px; cursor: pointer; color: #FFFFFF; font-weight: 500; background-color: #111111; list-style: none; display: flex; justify-content: space-between; align-items: center; font-family: 'Ubuntu', sans-serif;">Standard Instruction</summary>
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<pre style="margin: 0; padding: 16px; background-color: #000000 !important; color: #FFFFFF !important; white-space: pre-wrap; overflow-x: auto; font-family: 'Ubuntu Mono', 'Courier New', monospace !important; font-size: 14px; line-height: 1.5;">You are a strict, zero-tolerance parental control content-safety guardrail classifier for visual media.
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Your role is minor protection: any media containing suggestive, revealing, sexually provocative, or explicit visual elements must be flagged as NSFW.
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<h2 style="color: #FFFFFF; font-weight: 500; border-bottom: 1px solid #333333; padding-bottom: 8px; margin-top: 32px;">Quick Start with Transformers</h2>
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<span style="font-size: 13px; color: #888888; font-family: 'Ubuntu', sans-serif;">bash</span>
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</div>
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<pre style="margin: 0; padding: 16px; background-color: #000000 !important; color: #FFFFFF !important; white-space: pre-wrap; overflow-x: auto; font-family: 'Ubuntu Mono', 'Courier New', monospace !important; font-size: 14px; line-height: 1.5;">pip install transformers
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pip install accelerate</pre>
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<span style="font-size: 13px; color: #888888; font-family: 'Ubuntu', sans-serif;">python</span>
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</div>
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<pre style="margin: 0; padding: 16px; background-color: #000000 !important; color: #FFFFFF !important; white-space: pre-wrap; overflow-x: auto; font-family: 'Ubuntu Mono', 'Courier New', monospace !important; font-size: 14px; line-height: 1.5;">from transformers import Qwen3_5ForConditionalGeneration, AutoProcessor
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import torch
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model = Qwen3_5ForConditionalGeneration.from_pretrained(
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</div>
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<h2 style="color: #FFFFFF; font-weight: 500; border-bottom: 1px solid #333333; padding-bottom: 8px; margin-top: 32px;">Training Details</h2>
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<td style="padding: 14px 16px; color: #AAAAAA; font-weight: 500; width: 40%; border-right: 1px solid #333333; background-color: #000000;">Base Model</td>
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<td style="padding: 14px 16px; color: #FFFFFF; background-color: #000000;"><b>Qwen/Qwen3.5-4B</b></td>
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<td style="padding: 14px 16px; color: #AAAAAA; font-weight: 500; border-right: 1px solid #333333; background-color: #0a0a0a;">Model</td>
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<td style="padding: 14px 16px; color: #FFFFFF; background-color: #0a0a0a;"><b>VisionGuardrail-4B</b></td>
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<td style="padding: 14px 16px; color: #AAAAAA; font-weight: 500; border-right: 1px solid #333333; background-color: #000000;">Model Type</td>
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<td style="padding: 14px 16px; color: #FFFFFF; background-color: #000000;"><b>Multimodal Content-Safety Classifier</b></td>
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<td style="padding: 14px 16px; color: #AAAAAA; font-weight: 500; border-right: 1px solid #333333; background-color: #0a0a0a;">Training Dataset</td>
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<td style="padding: 14px 16px; color: #FFFFFF; background-color: #0a0a0a;"><b>prithivMLmods/ImageShield-Guardrail-Pro</b></td>
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<td style="padding: 14px 16px; color: #AAAAAA; font-weight: 500; border-right: 1px solid #333333; background-color: #000000;">Training Objective</td>
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<td style="padding: 14px 16px; color: #FFFFFF; background-color: #000000;"><b>Content-safety guardrail classification</b></td>
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<td style="padding: 14px 16px; color: #AAAAAA; font-weight: 500; border-right: 1px solid #333333; background-color: #0a0a0a;">Primary Classification</td>
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<td style="padding: 14px 16px; color: #FFFFFF; background-color: #0a0a0a;"><b>Safe / Unsafe</b></td>
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<td style="padding: 14px 16px; color: #AAAAAA; font-weight: 500; border-right: 1px solid #333333; background-color: #000000;">Safety Focus</td>
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<td style="padding: 14px 16px; color: #FFFFFF; background-color: #000000;"><b>Not Safe for Work (NSFW) Sensual Content</b></td>
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<td style="padding: 14px 16px; color: #AAAAAA; font-weight: 500; border-right: 1px solid #333333; background-color: #0a0a0a;">Visual Analysis</td>
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<td style="padding: 14px 16px; color: #AAAAAA; font-weight: 500; border-right: 1px solid #333333; background-color: #000000;">Training Framework</td>
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<td style="padding: 14px 16px; color: #FFFFFF; background-color: #000000;"><b>TRL</b></td>
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<h2 style="color: #FFFFFF; font-weight: 500; border-bottom: 1px solid #333333; padding-bottom: 8px; margin-top: 32px;">Intended Use</h2>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Content Safety Classification</b>: Classifying visual media as safe or unsafe.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>NSFW Sensual Content Detection</b>: Supporting research into automated detection of potentially sensitive and sexually suggestive visual content.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Parental Controls</b>: Building conservative visual content-safety filtering systems.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Content Moderation</b>: Supporting automated safety classification pipelines.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Multimodal Safety Research</b>: Evaluating content-safety behavior in multimodal language models.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Guardrail Development</b>: Researching structured safety classification and filtering workflows.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Visual Safety Analysis</b>: Analyzing clothing, dress codes, poses, framing, and visual settings for content-safety signals.</span></div>
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<h2 style="color: #FFFFFF; font-weight: 500; border-bottom: 1px solid #333333; padding-bottom: 8px; margin-top: 32px;">Limitations</h2>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Experimental Model</b>: The model may produce incorrect or inconsistent classifications.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>False Positives</b>: Benign content may occasionally be classified as unsafe due to the conservative classification threshold.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>False Negatives</b>: Unsafe content may occasionally be missed.</span></div>
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| 204 |
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Context Sensitivity</b>: Classification performance depends on image quality, visual context, and the provided instruction.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Conservative Policy</b>: The model intentionally uses a strict classification threshold and may flag content that would not be considered NSFW under less restrictive moderation policies.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Visual Ambiguity</b>: Clothing, poses, artistic styles, and contextual cues may sometimes be difficult to interpret accurately.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>Automated Classification</b>: The model should not be treated as a definitive legal or safety determination.</span></div>
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<h2 style="color: #FFFFFF; font-weight: 500; border-bottom: 1px solid #333333; padding-bottom: 8px; margin-top: 32px;">Acknowledgements</h2>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><a href="https://huggingface.co/Qwen/Qwen3.5-4B" style="color: #FF4500; text-decoration: none;">Qwen/Qwen3.5-4B</a>: Base multimodal model used for this project.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><a href="https://huggingface.co/datasets/prithivMLmods/ImageShield-Guardrail-Pro" style="color: #FF4500; text-decoration: none;">ImageShield-Guardrail-Pro</a>: Content-safety guardrail dataset used for training VisionGuardrail-4B.</span></div>
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| 212 |
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><b>TRL</b> – <a href="https://huggingface.co/docs/trl/en/index" style="color: #FF4500; text-decoration: none;">Transformers Reinforcement Learning</a>: TRL is a full-stack library providing tools to train transformer language models with methods including Supervised Fine-Tuning (SFT), Group Relative Policy Optimization (GRPO), Direct Preference Optimization (DPO), Reward Modeling, and more.</span></div>
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<div style="display: flex; align-items: flex-start; margin-bottom: 10px; color: #FFFFFF;"><span style="margin-right: 12px; color: #FFFFFF; font-weight: bold; line-height: 1.5;">+</span><span style="line-height: 1.5;"><a href="https://huggingface.co/docs/transformers/en/index" style="color: #FF4500; text-decoration: none;">Transformers</a>: Transformers provides state-of-the-art machine learning models for text, computer vision, audio, video, and multimodal tasks, supporting both inference and training.</span></div>
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