Text Classification
setfit
Safetensors
sentence-transformers
bert
geospatial
spatial-queries
text-embeddings-inference
Instructions to use ilyankou/is-geospatial-query with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use ilyankou/is-geospatial-query with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("ilyankou/is-geospatial-query") - sentence-transformers
How to use ilyankou/is-geospatial-query with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ilyankou/is-geospatial-query") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5d68421ee80235585e7f90425beab87281d07f4b655f51026b3c95ce51f5ffb
- Size of remote file:
- 133 MB
- SHA256:
- 250b41257d5333ae85c888928095902c50ace556c7b70eb20394e40920842d89
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.