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
Karan Shingde commited on
Model save
Browse files
README.md
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- `push_to_hub`: True
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- `hub_model_id`: aihello/keyword-recommendation-beta
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- `hub_strategy`: end
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#### All Hyperparameters
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<details><summary>Click to expand</summary>
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- `resume_from_checkpoint`: None
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- `hub_model_id`: aihello/keyword-recommendation-beta
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- `hub_strategy`: end
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- `hub_private_repo`:
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- `hub_always_push`: False
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- `hub_revision`: None
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- `gradient_checkpointing`: False
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- `push_to_hub`: True
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- `hub_model_id`: aihello/keyword-recommendation-beta
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- `hub_strategy`: end
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- `hub_private_repo`: True
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#### All Hyperparameters
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<details><summary>Click to expand</summary>
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- `resume_from_checkpoint`: None
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- `hub_model_id`: aihello/keyword-recommendation-beta
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- `hub_strategy`: end
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- `hub_private_repo`: True
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- `hub_always_push`: False
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- `hub_revision`: None
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- `gradient_checkpointing`: False
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eval/similarity_evaluation_custom-validation_results.csv
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2.3923444976076556,500,nan,nan
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training_args.bin
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size 6097
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