Adding Sentence Transformers files & update README (#1) 849671a verified
Aamir commited on
How to use mixedbread-ai/mxbai-embed-2d-large-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("mixedbread-ai/mxbai-embed-2d-large-v1")
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]How to use mixedbread-ai/mxbai-embed-2d-large-v1 with Transformers.js:
// npm i @huggingface/transformers
import { pipeline } from '@huggingface/transformers';
// Allocate pipeline
const pipe = await pipeline('feature-extraction', 'mixedbread-ai/mxbai-embed-2d-large-v1');How to use mixedbread-ai/mxbai-embed-2d-large-v1 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("feature-extraction", model="mixedbread-ai/mxbai-embed-2d-large-v1") # Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("mixedbread-ai/mxbai-embed-2d-large-v1")
model = AutoModel.from_pretrained("mixedbread-ai/mxbai-embed-2d-large-v1", device_map="auto")