Sentence Similarity
sentence-transformers
Safetensors
bert
multilingual
layer-pruning
vocab-pruning
minilm-l12
text-embeddings-inference
Instructions to use gomyk/minilm-student-L4_uniform with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use gomyk/minilm-student-L4_uniform with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gomyk/minilm-student-L4_uniform") 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:
- 73669e31ef67c9ce525fa1a568db5433ada415fad464d5bc7bc0ef37eab1917f
- Size of remote file:
- 88.7 MB
- SHA256:
- 16df2f7ffa37499e1841acabb831ba7088f5cc23df922a4a57d2b52bf21912fd
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