Falconsai/nsfw_image_detection
image-classification model by Falconsai
From the publisher
Model card & documentation
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The Fine-Tuned Vision Transformer (ViT) is a variant of the transformer encoder architecture, similar to BERT, that has been adapted for image classification tasks. This specific model, named "google/vit-base-patch16-224-in21k," is pre-trained on a substantial collection of images in a supervised manner, leveraging the ImageNet-21k dataset. The images in the pre-training dataset are resized to a resolution of 224x224 pixels, making it suitable for a wide range of image recognition tasks. During the training phase, meticulous attention was given to hyperparameter settings to ensure optimal model performance. The model was fine-tuned with a judiciously chosen batch size of 16. This choice not only balanced computational efficiency but also allowed for the model to effectively process and learn from a diverse array of images. To facilitate this fine-tuning process, a learning rate of 5e-5 was employed. The learning rate serves as a critical tuning parameter that dictates the magnitude of adjustments made…
Read the full model card ↗ · Preview checked 2026-10-29T03:41:48.785Z
Inside the original model card — Document outline
- Model Card: Fine-Tuned Vision Transformer (ViT) for NSFW Image Classification
- Model Description
- Intended Uses & Limitations
- Intended Uses
- How to use
- Limitations
- Training Data
- Training Stats
- References
- From the same team: Model Surgeon
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Falconsai/nsfw_image_detection is a image-classification model repository published by Falconsai on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-classification
- Library
- transformers
- Recent downloads (30 days)
- 1,724,484
- Cumulative likes
- 1,223
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 85,800,194
- Architecture
- ViTForImageClassification
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2023-10-13T23:50:01.000Z
- Last modified
- 2026-09-07T08:55:17.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:54:32.747Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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