Instructions to use minishlab/potion-multilingual-128M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use minishlab/potion-multilingual-128M with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("minishlab/potion-multilingual-128M") - sentence-transformers
How to use minishlab/potion-multilingual-128M with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("minishlab/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
Update README.md with the full model name
#1
by krumeto - opened
The current code returns:
huggingface_hub.errors.RepositoryNotFoundError: 401 Client Error. (Request ID: Root=1-683b28c0-711c03c11db8e3f476c2852b;30ceaae5-3e5f-41c6-a908-fd8622e433f4)
Repository Not Found for url: https://huggingface.co/potion-multilingual-128M/resolve/main/model.safetensors.
Pringled changed pull request status to merged