Sentence Similarity
sentence-transformers
PyTorch
ONNX
Transformers
bert
feature-extraction
mteb
Eval Results (legacy)
text-embeddings-inference
Instructions to use SmartComponents/bge-micro-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use SmartComponents/bge-micro-v2 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SmartComponents/bge-micro-v2") 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] - Transformers
How to use SmartComponents/bge-micro-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SmartComponents/bge-micro-v2") model = AutoModel.from_pretrained("SmartComponents/bge-micro-v2") - Notebooks
- Google Colab
- Kaggle
Commit ·
89e8d15
1
Parent(s): e0ba779
Pushing sentencetransformers model
Browse filesModel distilled from bge-small but ~1/4 the size, improved version
- config.json +2 -2
config.json
CHANGED
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{
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"_name_or_path": "
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"architectures": [
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"BertModel"
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],
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"num_hidden_layers": 3,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "
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"transformers_version": "4.34.0",
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"type_vocab_size": 2,
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"use_cache": true,
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{
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"_name_or_path": "/root/.cache/torch/sentence_transformers/TaylorAI_bge-micro-v2",
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"architectures": [
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"BertModel"
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],
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"num_hidden_layers": 3,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.34.0",
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"type_vocab_size": 2,
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"use_cache": true,
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