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vrushket
/
agentrank-reranker

Text Classification
Transformers
Safetensors
English
modernbert
feature-extraction
reranker
cross-encoder
ai-agents
memory
retrieval
rag
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use vrushket/agentrank-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vrushket/agentrank-reranker with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vrushket/agentrank-reranker")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("vrushket/agentrank-reranker")
    model = AutoModel.from_pretrained("vrushket/agentrank-reranker")
  • Notebooks
  • Google Colab
  • Kaggle
agentrank-reranker
601 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
vrushket's picture
vrushket
Upload AgentRank model
be4e69f verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    3.64 kB
    Upload AgentRank model 5 months ago
  • agentrank_reranker.pt

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    1.19 MB
    xet
    Upload AgentRank model 5 months ago
  • config.json
    1.21 kB
    Upload AgentRank model 5 months ago
  • model.safetensors
    596 MB
    xet
    Upload AgentRank model 5 months ago
  • special_tokens_map.json
    694 Bytes
    Upload AgentRank model 5 months ago
  • tokenizer.json
    3.58 MB
    Upload AgentRank model 5 months ago
  • tokenizer_config.json
    20.8 kB
    Upload AgentRank model 5 months ago