Sentence Similarity
sentence-transformers
Safetensors
Kazakh
bert
feature-extraction
kazakh
low-resource
cultural-nlp
multilingual-minilm
Eval Results (legacy)
text-embeddings-inference
Instructions to use crossroderick/minidalalm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use crossroderick/minidalalm with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("crossroderick/minidalalm") 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:
- 5b1eebf28d51b425919503bde32f76a54f1055eb4b3e3f6a03946174a9a2060d
- Size of remote file:
- 17.1 MB
- SHA256:
- cad551d5600a84242d0973327029452a1e3672ba6313c2a3c3d69c4310e12719
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