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:
- 7a47728eb313b7c36339f78dfa152a2d57654bae5aea0baca3b3a28813398499
- Size of remote file:
- 1.74 GB
- SHA256:
- fd6a8831041ff301f4f67aa54e8d45b5f30ff5751ad965cfd422906930f76f5e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.