Sentence Similarity
sentence-transformers
Safetensors
English
modernbert
colbert
late-interaction
retrieval
pylate
text-embeddings-inference
Instructions to use chungimungi/GLInt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use chungimungi/GLInt with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("chungimungi/GLInt") 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
| { | |
| "__version__": { | |
| "pytorch": "2.11.0+cu130", | |
| "sentence_transformers": "5.5.1", | |
| "transformers": "5.3.0" | |
| }, | |
| "attend_to_expansion_tokens": false, | |
| "default_prompt_name": null, | |
| "do_query_expansion": false, | |
| "document_length": 300, | |
| "document_prefix": "[D] ", | |
| "model_type": "SentenceTransformer", | |
| "prompts": { | |
| "document": "", | |
| "query": "" | |
| }, | |
| "query_length": 32, | |
| "query_prefix": "[Q] ", | |
| "similarity_fn_name": "MaxSim", | |
| "skiplist_words": [ | |
| "!", | |
| "\"", | |
| "#", | |
| "$", | |
| "%", | |
| "&", | |
| "'", | |
| "(", | |
| ")", | |
| "*", | |
| "+", | |
| ",", | |
| "-", | |
| ".", | |
| "/", | |
| ":", | |
| ";", | |
| "<", | |
| "=", | |
| ">", | |
| "?", | |
| "@", | |
| "[", | |
| "\\", | |
| "]", | |
| "^", | |
| "_", | |
| "`", | |
| "{", | |
| "|", | |
| "}", | |
| "~" | |
| ] | |
| } |