Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
mpnet
feature-extraction
Trained with AutoTrain
text-embeddings-inference
Instructions to use sidbrahim/narrativesAnalogues-MPNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sidbrahim/narrativesAnalogues-MPNet with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sidbrahim/narrativesAnalogues-MPNet") sentences = [ "search_query: i love autotrain", "search_query: huggingface auto train", "search_query: hugging face auto train", "search_query: i love autotrain" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed9b20b663822beeb7b3d52b0fcf489bb54cdf3378924653bc3d22b4f5a083a0
- Size of remote file:
- 5.62 kB
- SHA256:
- f7959edd517292764493c57c141384c7cbf8fdcf9c9b6432ae3cae811ae23d43
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