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llm-wizard
/
router_llm

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use llm-wizard/router_llm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use llm-wizard/router_llm with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="llm-wizard/router_llm")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("llm-wizard/router_llm")
    model = AutoModelForSequenceClassification.from_pretrained("llm-wizard/router_llm")
  • Notebooks
  • Google Colab
  • Kaggle
router_llm
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  • 1 contributor
History: 3 commits
llm-wizard's picture
llm-wizard
Upload BertForSequenceClassification
804e9f0 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload tokenizer over 1 year ago
  • config.json
    929 Bytes
    Upload BertForSequenceClassification over 1 year ago
  • model.safetensors
    433 MB
    xet
    Upload BertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    669 kB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.19 kB
    Upload tokenizer over 1 year ago
  • vocab.txt
    213 kB
    Upload tokenizer over 1 year ago