Sentence Similarity
sentence-transformers
PyTorch
English
new
feature-extraction
formbench
patent-retrieval
chemistry
formulations
materials-science
custom_code
text-embeddings-inference
Instructions to use Formbench-anon/gte-large-formbench-mnrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Formbench-anon/gte-large-formbench-mnrl with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Formbench-anon/gte-large-formbench-mnrl", trust_remote_code=True) 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:
- f9b7781e1fdb07a496d0ad75ede0fac456eafcf764e2914478b7f37abdda0c03
- Size of remote file:
- 15.9 kB
- SHA256:
- 3d7c5b2869983c9fa4ff7da4eff8b1176c7bdbb2ea2b373f5dee3aed5c350094
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