Sentence Similarity
sentence-transformers
PyTorch
Safetensors
bert
feature-extraction
text-embeddings-inference
Instructions to use wasjaip/my_tree_model_v1_allk_rus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use wasjaip/my_tree_model_v1_allk_rus with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("wasjaip/my_tree_model_v1_allk_rus") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76bc736e1bc0b68f6763bb45263abe57065a533f8889aa1366c3e4fede9c0fcf
- Size of remote file:
- 1.88 GB
- SHA256:
- e07b916149589305fbe9f5de1fa7e955ae1ae0cef099eabd9e07d328d75975ae
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