Instructions to use tokiers/potion-multilingual-128M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use tokiers/potion-multilingual-128M with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("tokiers/potion-multilingual-128M") - sentence-transformers
How to use tokiers/potion-multilingual-128M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tokiers/potion-multilingual-128M") 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:
- fe03454bed60fc649ada7ef56b7541b7628ef8fdd4d0eec560d9c798591caba3
- Size of remote file:
- 135 kB
- SHA256:
- 8fc8db798c25abc3f44d4c90cc2fd8bf3c060886e31f33e2f684fd6a7a4290ac
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