Feature Extraction
sentence-transformers
Safetensors
English
Korean
Japanese
xlm-roberta
sentence-similarity
nsfw
embedding
bge-m3
text-embeddings-inference
Not-For-All-Audiences
Instructions to use KGESH/nsfw-bge-m3-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use KGESH/nsfw-bge-m3-v5 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("KGESH/nsfw-bge-m3-v5") 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
Not-For-All-Audiences
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