How to use RonanMcGovern/all-MiniLM-L12-v2-ft with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("RonanMcGovern/all-MiniLM-L12-v2-ft") 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/RonanMcGovern/all-MiniLM-L12-v2-ft/resolve/main/tokenizer.json
hf download hf://RonanMcGovern/all-MiniLM-L12-v2-ft/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/RonanMcGovern/all-MiniLM-L12-v2-ft/resolve/main/tokenizer.json
