Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:10000
loss:MultipleNegativesRankingLoss
Eval Results (legacy)
text-embeddings-inference
Instructions to use aihello/keyword-recommendation-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use aihello/keyword-recommendation-beta with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aihello/keyword-recommendation-beta") sentences = [ "great walks uk book", "loose match", "loose match", "lamina mapa montevideo" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aihello/keyword-recommendation-beta: direct link, hf CLI and curl.
- Browser
- Download file 6.1 kB
-
https://huggingface.co/aihello/keyword-recommendation-beta/resolve/main/training_args.bin
- Command line
-
hf download hf://aihello/keyword-recommendation-beta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aihello/keyword-recommendation-beta/resolve/main/training_args.bin
6.1 kB
- Xet hash:
- bcc0e56534ce3ac1cd885350b8976b69cd0a2f3356505cba2c102d72ac80902a
- Size of remote file:
- 6.1 kB
- SHA256:
- 8e4ad6e836cf4641cbd8c3ce9c65f2a25727a80462781f2e1e050ed2d406fdd8
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