Sentence Similarity
sentence-transformers
Safetensors
bert
intent-classification
multilingual
layer-pruning
vocab-pruning
text-embeddings-inference
Instructions to use gomyk/intent-student-L6_bottom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use gomyk/intent-student-L6_bottom with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("gomyk/intent-student-L6_bottom") 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
Download id_map.json from gomyk/intent-student-L6_bottom: direct link, hf CLI and curl.
- Browser
- Download file 3.39 MB
-
https://huggingface.co/gomyk/intent-student-L6_bottom/resolve/main/id_map.json
- Command line
-
hf download hf://gomyk/intent-student-L6_bottom/id_map.json
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curl -L -o id_map.json https://huggingface.co/gomyk/intent-student-L6_bottom/resolve/main/id_map.json
3.39 MB
File too large to display, you can check the raw version instead.