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:
- 1fab5a08e37d9d31d8d49e4eb4ca18c2de29f5c59ac1f87c6d67ebbbecc9b918
- Size of remote file:
- 3.47 GB
- SHA256:
- 64397c7aa4a2dacf444d67bec7497fccfe978b73ade96377af9ac1f0bf8ced9c
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