Instructions to use tokiers/potion-retrieval-32M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use tokiers/potion-retrieval-32M with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("tokiers/potion-retrieval-32M") - sentence-transformers
How to use tokiers/potion-retrieval-32M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tokiers/potion-retrieval-32M") 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:
- ea5c11b06e86f1e510d1733b59c53de833e5d6fd6a6c987c9ca561533fd3e66c
- Size of remote file:
- 3.65 MB
- SHA256:
- f28699ee8bf0dac6dd41fc6649b7df60537565f77eca98d77c4fc1098773f1b7
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