Sentence Similarity
sentence-transformers
PyTorch
English
qwen3
feature-extraction
formbench
patent-retrieval
chemistry
formulations
materials-science
text-embeddings-inference
Instructions to use Formbench-anon/qwen3-embed-formbench-mnrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Formbench-anon/qwen3-embed-formbench-mnrl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Formbench-anon/qwen3-embed-formbench-mnrl") 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:
- 837e4d2596680594c4a386bdab776ea42aa357eb4498ea8f5c3e6d50773c9cc7
- Size of remote file:
- 2.38 GB
- SHA256:
- 5597a032971bc3df86d2eae1d18d801a2829da4296c0397380ee8be4ef0ddc77
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