Instructions to use argilla/alpaca-garbage-collector-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use argilla/alpaca-garbage-collector-multilingual with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("argilla/alpaca-garbage-collector-multilingual") 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] - setfit
How to use argilla/alpaca-garbage-collector-multilingual with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("argilla/alpaca-garbage-collector-multilingual") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb45cb1e64e82be518369efea6c5b5761fb5d6ad88d0e3c838bd91b51232bc42
- Size of remote file:
- 1.11 GB
- SHA256:
- 554090bd467d9a52a3ab710c0afaef3b2803fae3b6656089fd19e63419e69a94
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