How to use vazish/all-Mini-fine-tuned with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("vazish/all-Mini-fine-tuned") sentences = [ "Plant-Based Nutrition Guide", "Streaming Videos about Miscellaneous", "Honest John - Car Reviews & Buying Advice", "Participating in online forums and communities about Seasonal Forecasts" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
https://huggingface.co/vazish/all-Mini-fine-tuned/resolve/main/tokenizer.json
hf download hf://vazish/all-Mini-fine-tuned/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/vazish/all-Mini-fine-tuned/resolve/main/tokenizer.json
