Sentence Similarity
sentence-transformers
Safetensors
bert
intent-classification
multilingual
distillation
layer-pruning
text-embeddings-inference
Instructions to use gomyk/intent-student-L4_top with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use gomyk/intent-student-L4_top with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gomyk/intent-student-L4_top") 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:
- c62a0abaca34335b53aad0fb1ca7768e47ca38d352ba3afb10e2729c9962f8a4
- Size of remote file:
- 414 MB
- SHA256:
- db50f33f2f9d722559f7678622d327bebbb601a5837dc2de426ebe379778f5a0
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