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  1. README.md +61 -0
  2. config.json +26 -0
  3. merges.txt +0 -0
  4. model.onnx +3 -0
  5. special_tokens_map.json +51 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +57 -0
  8. vocab.json +0 -0
README.md ADDED
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+ ---
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+ library_name: light-embed
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+ pipeline_tag: sentence-similarity
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+ tags:
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+ - sentence-transformers
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+ - feature-extraction
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+ - sentence-similarity
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+
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+ ---
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+
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+ # onnx-models/paraphrase-distilroberta-base-v2-onnx
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+
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+ This is the ONNX-ported version of the [sentence-transformers/paraphrase-distilroberta-base-v2](https://huggingface.co/sentence-transformers/paraphrase-distilroberta-base-v2) for generating text embeddings.
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+
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+ ## Model details
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+ - Embedding dimension: 768
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+ - Max sequence length: 256
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+ - File size on disk: 0.30 GB
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+ - Modules incorporated in the onnx: Transformer, Pooling
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+
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+ <!--- Describe your model here -->
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+
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+ ## Usage
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+
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+ Using this model becomes easy when you have [light-embed](https://pypi.org/project/light-embed/) installed:
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+
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+ ```
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+ pip install -U light-embed
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+ ```
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+
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+ Then you can use the model by specifying the *original model name* like this:
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+
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+ ```python
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+ from light_embed import TextEmbedding
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+ sentences = [
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+ "This is an example sentence",
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+ "Each sentence is converted"
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+ ]
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+
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+ model = TextEmbedding('sentence-transformers/paraphrase-distilroberta-base-v2')
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+ embeddings = model.encode(sentences)
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+ print(embeddings)
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+ ```
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+
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+ or by specifying the *onnx model name* like this:
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+
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+ ```python
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+ from light_embed import TextEmbedding
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+ sentences = [
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+ "This is an example sentence",
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+ "Each sentence is converted"
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+ ]
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+
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+ model = TextEmbedding('onnx-models/paraphrase-distilroberta-base-v2-onnx')
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+ embeddings = model.encode(sentences)
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+ print(embeddings)
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+ ```
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+
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+ ## Citing & Authors
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+
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+ Binh Nguyen / [email protected]
config.json ADDED
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+ "transformers_version": "4.7.0",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
merges.txt ADDED
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model.onnx ADDED
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tokenizer.json ADDED
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vocab.json ADDED
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