Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use FareedKhan/mx_bai_test_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use FareedKhan/mx_bai_test_full with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("FareedKhan/mx_bai_test_full") 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
- Xet hash:
- 8ded379d2eca40d14b76a6082909b6cef3b5a4a639741d3cae62e630df5d3a0c
- Size of remote file:
- 1.95 GB
- SHA256:
- fc86ff649c52f78abf74d226e8d13467059bebdba2ebadf8a5271efbd2811235
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