Image Classification
sentence-transformers
Safetensors
embedding_gemma2
ai-image-detection
ai-generated-image-detection
deepfake-detection
smaug
abacusai
Instructions to use abacusai/Smaug-AI-Image-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use abacusai/Smaug-AI-Image-Detector with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("abacusai/Smaug-AI-Image-Detector") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
File size: 1,326 Bytes
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"__version__": {
"pytorch": "2.9.1+cu130",
"sentence_transformers": "6.1.0",
"transformers": "5.20.0"
},
"default_prompt_name": null,
"model_type": "SentenceTransformer",
"prompts": {
"BitextMining": "task: search result | query: ",
"Classification": "task: classification | query: ",
"Clustering": "task: clustering | query: ",
"CodeRetrieval": "task: code retrieval | query: ",
"Document": "title: none | text: ",
"FactChecking": "task: fact checking | query: ",
"InstructionRetrieval": "task: code retrieval | query: ",
"MultilabelClassification": "task: classification | query: ",
"PairClassification": "task: sentence similarity | query: ",
"QuestionAnswering": "task: question answering | query: ",
"Reranking": "task: search result | query: ",
"Retrieval": "task: search result | query: ",
"Retrieval-document": "title: none | text: ",
"Retrieval-query": "task: search result | query: ",
"STS": "task: sentence similarity | query: ",
"SearchQuery": "task: search result | query: ",
"SentenceSimilarity": "task: sentence similarity | query: ",
"Summarization": "task: sentence similarity | query: ",
"document": "title: none | text: ",
"query": "task: search result | query: "
},
"similarity_fn_name": "cosine"
} |