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vrishv
/
thinker-34M

Text Classification
Transformers
ONNX
Safetensors
English
llama
reasoning-detection
small-model
tiny-model
english
34m
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use vrishv/thinker-34M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vrishv/thinker-34M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vrishv/thinker-34M")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("vrishv/thinker-34M")
    model = AutoModelForSequenceClassification.from_pretrained("vrishv/thinker-34M", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
thinker-34M
272 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
vrishv's picture
vrishv
Card and ONNX copy
e1797ed verified 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 4 days ago
  • README.md
    5.09 kB
    Card and ONNX copy 3 days ago
  • config.json
    839 Bytes
    Thinker v1: quick or think 4 days ago
  • model.onnx
    136 MB
    xet
    Card and ONNX copy 3 days ago
  • model.safetensors
    136 MB
    xet
    Thinker v1: quick or think 4 days ago
  • run.json
    63 Bytes
    Thinker v1: quick or think 4 days ago
  • thinker_info.json
    210 Bytes
    Thinker v1: quick or think 4 days ago
  • tokenizer.json
    1.11 MB
    Thinker v1: quick or think 4 days ago
  • tokenizer_config.json
    273 Bytes
    Thinker v1: quick or think 4 days ago