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:
- 49f12dbfeed2f908da8cecbceedb8947be033ee1eec1b2c026cfc5d8cce58e44
- Size of remote file:
- 15.9 kB
- SHA256:
- c51b2d27904e35cd28248d5803ae58400b0ce5638590a32b1d5bfbfae973319e
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