Sentence Similarity
sentence-transformers
Safetensors
Persian
albert
feature-extraction
persian
matryoshka
mteb
Instructions to use shekar-ai/Noql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use shekar-ai/Noql with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("shekar-ai/Noql") 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
Download compatibility.json from shekar-ai/Noql: direct link, hf CLI and curl.
- Browser
- Download file 220 Bytes
-
https://huggingface.co/shekar-ai/Noql/resolve/main/compatibility.json
- Command line
-
hf download hf://shekar-ai/Noql/compatibility.json
-
curl -L -o compatibility.json https://huggingface.co/shekar-ai/Noql/resolve/main/compatibility.json
220 Bytes
| { | |
| "transformers_versions": [ | |
| "4.57.6", | |
| "5.17.0" | |
| ], | |
| "identical_token_ids": true, | |
| "zwnj_id": 5, | |
| "vocab_size": 38016, | |
| "inference_passed": true, | |
| "sentence_transformers_export_matches_checkpoint": true | |
| } |