Instructions to use minishlab/M2V_base_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use minishlab/M2V_base_output with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("minishlab/M2V_base_output") - sentence-transformers
How to use minishlab/M2V_base_output with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("minishlab/M2V_base_output") 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
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#1
by Xenova HF Staff - opened
No description provided.
Same as other one, we're going to add this ourselves soon, super great to have this supported already. Thanks so much!
stephantulkens changed pull request status to merged
This is cool, but it doesn't work in transformers.js because it's not yet in the sentence transformers format, correct?