Add first-party Sentence Transformers support + snippet 0737ee5
Tom Aarsen commited on
How to use Salesforce/SFR-Embedding-Mistral with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Salesforce/SFR-Embedding-Mistral")
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 Salesforce/SFR-Embedding-Mistral with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("feature-extraction", model="Salesforce/SFR-Embedding-Mistral") # Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("Salesforce/SFR-Embedding-Mistral")
model = AutoModel.from_pretrained("Salesforce/SFR-Embedding-Mistral")