Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
mpnet
feature-extraction
Trained with AutoTrain
text-embeddings-inference
Instructions to use sidbrahim/autotrain-NarrativesAnalogues-MPNET with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sidbrahim/autotrain-NarrativesAnalogues-MPNET with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sidbrahim/autotrain-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
Upload folder using huggingface_hub
Browse files
runs/Mar01_17-45-57_r-iafa-ut-autotrain-advanced-gmczj114-5d482-fvczg/events.out.tfevents.1772387159.r-iafa-ut-autotrain-advanced-gmczj114-5d482-fvczg.218.0
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