Instructions to use SoTrxII/analytical-pattern-embedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use SoTrxII/analytical-pattern-embedder with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SoTrxII/analytical-pattern-embedder") 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
Release v2
Browse files- model.safetensors +1 -1
- tokenizer.json +2 -2
- tokenizer_config.json +1 -1
model.safetensors
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tokenizer.json
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tokenizer_config.json
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"is_local": false,
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"is_local": false,
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"mask_token": "<mask>",
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"model_max_length": 1024,
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"model_specific_special_tokens": {
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"audio_token": "<|audio|>",
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