Instructions to use newmindai/TurkEmbed4STS-Static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use newmindai/TurkEmbed4STS-Static with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("newmindai/TurkEmbed4STS-Static") - sentence-transformers
How to use newmindai/TurkEmbed4STS-Static with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("newmindai/TurkEmbed4STS-Static") 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:
- 72321920ea0e5768b26d661eab7825dac059da7482298589f20e91517426bb56
- Size of remote file:
- 256 MB
- SHA256:
- e9d2284d212c3a1fc9755750c73d2c2e34fd9fa2a75db5c5f20852b6b534d0c3
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