How to use sonyinteractive/grooming-risk-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sonyinteractive/grooming-risk-classifier") 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]
https://huggingface.co/sonyinteractive/grooming-risk-classifier/resolve/main/tokenizer_config.json
hf download hf://sonyinteractive/grooming-risk-classifier/tokenizer_config.json
curl -L -o tokenizer_config.json https://huggingface.co/sonyinteractive/grooming-risk-classifier/resolve/main/tokenizer_config.json
