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FaithLLM
/
rlhf_wizardlm_inpage_top5

Feature Extraction
Transformers
Safetensors
llama
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use FaithLLM/rlhf_wizardlm_inpage_top5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FaithLLM/rlhf_wizardlm_inpage_top5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="FaithLLM/rlhf_wizardlm_inpage_top5")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("FaithLLM/rlhf_wizardlm_inpage_top5")
    model = AutoModel.from_pretrained("FaithLLM/rlhf_wizardlm_inpage_top5")
  • Notebooks
  • Google Colab
  • Kaggle
rlhf_wizardlm_inpage_top5
51.4 GB
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  • 1 contributor
History: 3 commits
per's picture
per
Upload tokenizer
ca3391c over 2 years ago
  • .gitattributes
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  • added_tokens.json
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  • config.json
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  • model-00011-of-00011.safetensors
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  • model.safetensors.index.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer.model
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  • tokenizer_config.json
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