Instructions to use Jarbas/ovos-model2vec-intents-paraphrase-multilingual-mpnet-base-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use Jarbas/ovos-model2vec-intents-paraphrase-multilingual-mpnet-base-v2 with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("Jarbas/ovos-model2vec-intents-paraphrase-multilingual-mpnet-base-v2") - sentence-transformers
How to use Jarbas/ovos-model2vec-intents-paraphrase-multilingual-mpnet-base-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Jarbas/ovos-model2vec-intents-paraphrase-multilingual-mpnet-base-v2") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7f1fbdb6aa5d8d331cce6612a3ad55d1f2e2cacdfc3a9ecb21322f24944f1c7
- Size of remote file:
- 6.14 MB
- SHA256:
- 8f159d058d7904225bad0775f6f04f080d845c8a60e68127b92386e60fcfdae0
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