Sentence Similarity
sentence-transformers
Safetensors
bert
intent-classification
multilingual
layer-pruning
vocab-pruning
text-embeddings-inference
Instructions to use gomyk/intent-student-L4_uniform with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use gomyk/intent-student-L4_uniform with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gomyk/intent-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:
- 9ce6008fa0d38bae16657a8b58432ad777d19e7a5fd50b6e38702258a8c2347b
- Size of remote file:
- 2.82 MB
- SHA256:
- 0ab1d8ad18d647b10254a627ba87f4f8dac8aea96ca026510f5f883fe2e6532e
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