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
Steve Sanderson commited on
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LICENSE
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As per https://huggingface.co/TaylorAI/bge-micro-v2/discussions/1, this model is availble under MIT license.
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> Seganrasan
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> Hi, could you please let me know what is the licence of this bge-micro-v2 model?
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> andersonbcdefg (Taylor org)
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> sorry forgot to specify that but anything i upload on the hub idc what you do with it. so mit i guess
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# bge-micro-v2
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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Distilled in a 2-step training process (bge-micro was step 1) from `BAAI/bge-small-en-v1.5`.
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# bge-micro-v2
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> Forked from https://huggingface.co/TaylorAI/bge-micro-v2 purely to ensure it remains available. See also [license](LICENSE).
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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Distilled in a 2-step training process (bge-micro was step 1) from `BAAI/bge-small-en-v1.5`.
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