Instructions to use OpenVoiceOS/ovos-model2vec-intents-LaBSE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use OpenVoiceOS/ovos-model2vec-intents-LaBSE with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("OpenVoiceOS/ovos-model2vec-intents-LaBSE") - sentence-transformers
How to use OpenVoiceOS/ovos-model2vec-intents-LaBSE with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("OpenVoiceOS/ovos-model2vec-intents-LaBSE") 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:
- ee3fc424b38bfa5667ee8a655d7aa668e53b4700c91211c08ed2e34d4546234c
- Size of remote file:
- 13.6 MB
- SHA256:
- 2774774285a109186c0fa04346bb22e5449a7ce728684c7b992510eb6a916672
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