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brahmairesearch
/
routex-v0.1

Text Classification
Transformers
ONNX
Safetensors
English
bert
llm_routing
Bert
BertForSequenceClassification
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use brahmairesearch/routex-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use brahmairesearch/routex-v0.1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="brahmairesearch/routex-v0.1")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("brahmairesearch/routex-v0.1")
    model = AutoModelForSequenceClassification.from_pretrained("brahmairesearch/routex-v0.1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
routex-v0.1
1.43 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
MAV23
Adding ONNX file of this model (#1)
00a1fa5 verified over 1 year ago
  • onnx
    Adding ONNX file of this model (#1) over 1 year ago
  • .gitattributes
    1.57 kB
    Upload routeX.png almost 2 years ago
  • README.md
    841 Bytes
    Update README.md almost 2 years ago
  • config.json
    1.08 kB
    __init__ almost 2 years ago
  • model.safetensors
    711 MB
    xet
    __init__ almost 2 years ago
  • routeX.png
    1.55 MB
    xet
    Upload routeX.png almost 2 years ago
  • special_tokens_map.json
    732 Bytes
    __init__ almost 2 years ago
  • tokenizer.json
    2.92 MB
    __init__ almost 2 years ago
  • tokenizer_config.json
    1.25 kB
    __init__ almost 2 years ago
  • vocab.txt
    996 kB
    __init__ almost 2 years ago