Instructions to use tokiers/potion-base-4M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use tokiers/potion-base-4M with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("tokiers/potion-base-4M") - sentence-transformers
How to use tokiers/potion-base-4M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tokiers/potion-base-4M") 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
Regenerate tokenizer.tkz as format v13 (self-contained: added/special tokens stored in-file)
f3b6d6d verified - Xet hash:
- c0c357e9a724a4e9e2ba670254527b18c0489090bec6a92b8451dd8208d6501e
- Size of remote file:
- 1.68 MB
- SHA256:
- b8371e7f1e5140023b74f2680e1c58c80bfe4e79ed3094a81081790ac55c0586
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