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BAAI
/
bge-reranker-v2-gemma

Text Classification
sentence-transformers
Safetensors
Transformers
multilingual
gemma
text-generation
Model card Files Files and versions
xet
Community
8

Instructions to use BAAI/bge-reranker-v2-gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use BAAI/bge-reranker-v2-gemma with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("BAAI/bge-reranker-v2-gemma")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Transformers

    How to use BAAI/bge-reranker-v2-gemma with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="BAAI/bge-reranker-v2-gemma")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-reranker-v2-gemma")
    model = AutoModelForCausalLM.from_pretrained("BAAI/bge-reranker-v2-gemma")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

The requested model (BAAI/bge-reranker-v2-gemma) is deprecated and no longer supported by provider hf-inference

#8 opened 3 months ago by
sohom004

Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers`

#7 opened about 1 year ago by
tomaarsen

about bge-reranker-gemma

4
#5 opened almost 2 years ago by
gaven0319

(404 Not Found) for url (https://huggingface.co/BAAI/bge-reranker-v2-gemma/resolve/main/pytorch_model.bin)

2
#4 opened almost 2 years ago by
qwerasdfzxv

Can BAAI/bge-reranker-v2-gemma be run quantized?

#3 opened almost 2 years ago by
dophys

Fine-tuning bge-reranker-v2-gemma resulted in CUDA torch.cuda.OutOfMemoryError even with 4 GPUs

1
#2 opened about 2 years ago by
jackkwok
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