How to use thilakx/Bankoflibreo with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("thilakx/Bankoflibreo") 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/thilakx/Bankoflibreo/resolve/main/frontend/node_modules/%40tailwindcss/node/dist/require-cache.d.ts
hf download hf://thilakx/Bankoflibreo/frontend/node_modules/@tailwindcss/node/dist/require-cache.d.ts
curl -L -o require-cache.d.ts https://huggingface.co/thilakx/Bankoflibreo/resolve/main/frontend/node_modules/%40tailwindcss/node/dist/require-cache.d.ts
