Sentence Similarity
sentence-transformers
PyTorch
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use mrm8488/m-e5-large_bs64_10_all_languages with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use mrm8488/m-e5-large_bs64_10_all_languages with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mrm8488/m-e5-large_bs64_10_all_languages") 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] - Notebooks
- Google Colab
- Kaggle
Exploring the Training Data
#1
by YanshekWoo - opened
Nice work for its excellent performance.
We are interested in the training of this model, including the scale and data format. So we are wondering if the author could kindly provide more details of the training data.