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
Commit ·
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Parent(s): 83daab2
Citation update
Browse files
README.md
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@@ -143,6 +143,7 @@ KazParC деректер жинағын жүктеп алу үшін сізге
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title = {MiniDalaLM: Feature extraction on Latin Kazakh via embeddings},
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year = 2025,
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url = {https://huggingface.co/crossroderick/minidalalm},
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publisher = {Hugging Face}
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}
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```
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title = {MiniDalaLM: Feature extraction on Latin Kazakh via embeddings},
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year = 2025,
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url = {https://huggingface.co/crossroderick/minidalalm},
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doi = {10.57967/hf/5369},
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publisher = {Hugging Face}
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}
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```
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