Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
bert
feature-extraction
Trained with AutoTrain
text-embeddings-inference
Instructions to use Jgmorenof/movie-plots-pt-en-maskedentities-all-MiniLM-L6-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Jgmorenof/movie-plots-pt-en-maskedentities-all-MiniLM-L6-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Jgmorenof/movie-plots-pt-en-maskedentities-all-MiniLM-L6-v2") 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:
- 268063bbe7cfeef3ce50c0ba3793d25b8b58c7c60bfea80a0b22110c63ba44bb
- Size of remote file:
- 90.9 MB
- SHA256:
- 55d0de0138b6ae3b303bf71a3f2142f67be7d93cb2a91f4b663ccec379bea6c6
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