Feature Extraction
sentence-transformers
Safetensors
Transformers
English
mistraldual
sentence-similarity
custom_code
Instructions to use GeoGPT-Research-Project/GeoEmbedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GeoGPT-Research-Project/GeoEmbedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GeoGPT-Research-Project/GeoEmbedding", trust_remote_code=True) 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] - Transformers
How to use GeoGPT-Research-Project/GeoEmbedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GeoGPT-Research-Project/GeoEmbedding", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GeoGPT-Research-Project/GeoEmbedding", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 205 Bytes
7732666 | 1 2 3 4 5 6 7 8 9 10 | {
"__version__": {
"sentence_transformers": "3.3.1",
"transformers": "4.51.3",
"pytorch": "2.5.1+cu124"
},
"prompts": {},
"default_prompt_name": null,
"similarity_fn_name": "cosine"
} |