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ContextualAI
/
ctxl-rerank-v2-instruct-multilingual-6b-fp8

Text Ranking
Transformers
Safetensors
mistral
text-generation
text-embeddings-inference
compressed-tensors
Model card Files Files and versions
xet
Community

Instructions to use ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b-fp8 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b-fp8")
    model = AutoModelForCausalLM.from_pretrained("ContextualAI/ctxl-rerank-v2-instruct-multilingual-6b-fp8")
  • Notebooks
  • Google Colab
  • Kaggle
ctxl-rerank-v2-instruct-multilingual-6b-fp8
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  • 1 contributor
History: 2 commits
sheshansh-ctx's picture
sheshansh-ctx
Upload FP8 weights + bf16 README
7e187e2 verified about 1 month ago
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  • README.md
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  • config.json
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  • generation_config.json
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  • model-00001-of-00002.safetensors
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  • model-00002-of-00002.safetensors
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  • model.safetensors.index.json
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  • recipe.yaml
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  • special_tokens_map.json
    552 Bytes
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
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