Sentence Similarity
sentence-transformers
Safetensors
Northern Hindko
Southern Hindko
xlm-roberta
feature-extraction
hindko
embeddings
low-resource
urdu-script
perso-arabic
Eval Results (legacy)
text-embeddings-inference
Instructions to use junaid008/hindko-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use junaid008/hindko-embeddings with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("junaid008/hindko-embeddings") 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 benchmarks/08_task_heatmap_dev.png from junaid008/hindko-embeddings: direct link, hf CLI and curl.
- Browser
- Download file 463 kB
-
https://huggingface.co/junaid008/hindko-embeddings/resolve/main/benchmarks/08_task_heatmap_dev.png
- Command line
-
hf download hf://junaid008/hindko-embeddings/benchmarks/08_task_heatmap_dev.png
-
curl -L -o 08_task_heatmap_dev.png https://huggingface.co/junaid008/hindko-embeddings/resolve/main/benchmarks/08_task_heatmap_dev.png
463 kB

- Xet hash:
- f9991c5354bdba978e4d587bcbe5244381f1734e931fa8123ecc185ea62f7bbf
- Size of remote file:
- 463 kB
- SHA256:
- dcd3785b1beb21d50447fcb29b53e5315e070159bd0dc372983ec71ea8cea2c1
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