How to use pingkeest/learning2_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pingkeest/learning2_model", trust_remote_code=True, dtype="auto")
How to use pingkeest/learning2_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("pingkeest/learning2_model", trust_remote_code=True) 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 pingkeest/learning2_model with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('sentence-similarity', 'pingkeest/learning2_model');
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