Instructions to use mrfoxv/snowflake_model2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use mrfoxv/snowflake_model2vec with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("mrfoxv/snowflake_model2vec") - sentence-transformers
How to use mrfoxv/snowflake_model2vec with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("mrfoxv/snowflake_model2vec") 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:
- d0ef0bbabfd369564ccfe1ee456815a25b31c377b7eed2c721c68813b1182776
- Size of remote file:
- 22.7 MB
- SHA256:
- 39f0a229debb9d8cdde677e3cffdf688a75b8d01839c0d3858a3d6e914dff7bd
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