How to use GulkoA/gamespace.2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GulkoA/gamespace.2") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use GulkoA/gamespace.2 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('feature-extraction', 'GulkoA/gamespace.2');
https://huggingface.co/GulkoA/gamespace.2/resolve/main/tokenizer.json
hf download hf://GulkoA/gamespace.2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/GulkoA/gamespace.2/resolve/main/tokenizer.json
