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  1. README.md +61 -0
  2. config.json +23 -0
  3. model.onnx +3 -0
  4. special_tokens_map.json +51 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +72 -0
  7. vocab.txt +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/multi-qa-mpnet-base-dot-v1-onnx
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+
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+ This is the ONNX-ported version of the [sentence-transformers/multi-qa-mpnet-base-dot-v1](https://huggingface.co/sentence-transformers/multi-qa-mpnet-base-dot-v1) 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: 512
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+ - File size on disk: 0.41 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/multi-qa-mpnet-base-dot-v1')
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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/multi-qa-mpnet-base-dot-v1-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 / binhcode25@gmail.com
config.json ADDED
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+ {
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+ "_name_or_path": "sentence-transformers/multi-qa-mpnet-base-dot-v1",
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+ "architectures": [
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+ "MPNetForMaskedLM"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_act": "gelu",
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "mpnet",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "relative_attention_num_buckets": 32,
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+ "transformers_version": "4.8.2",
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+ "vocab_size": 30527
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+ }
model.onnx ADDED
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+ size 435936273
special_tokens_map.json ADDED
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ }
vocab.txt ADDED
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