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cisimcik
/
tau-4b

Zero-Shot Classification
Transformers
Safetensors
PyTorch
Turkish
English
tau
feature-extraction
turkish
decision-model
system-one
text-classification
natural-language-inference
calibrated-probabilities
long-context
qwen3.5
gated-deltanet
hybrid-attention
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use cisimcik/tau-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cisimcik/tau-4b with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="cisimcik/tau-4b", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("cisimcik/tau-4b", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tau-4b
9.08 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ckproduces's picture
ckproduces
tau-4b
daa4640 12 days ago
  • .gitattributes
    1.63 kB
    tau-4b 12 days ago
  • LICENSE
    11.3 kB
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  • NOTICE
    313 Bytes
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  • README.md
    9.49 kB
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  • README_en.md
    8.2 kB
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  • config.json
    3 kB
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  • configuration_tau.py
    1.05 kB
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  • merges.txt
    3.35 MB
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  • model-00001-of-00003.safetensors
    4.48 GB
    xet
    tau-4b 12 days ago
  • model-00002-of-00003.safetensors
    3.93 GB
    xet
    tau-4b 12 days ago
  • model-00003-of-00003.safetensors
    640 MB
    xet
    tau-4b 12 days ago
  • model.safetensors.index.json
    37.5 kB
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  • modeling_tau.py
    10.8 kB
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  • tau-4b-benchmarks.jpg
    1.05 MB
    xet
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  • tau-logo-dark.svg
    5.93 kB
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  • tau-logo.svg
    5.93 kB
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  • tau_schema.py
    6.02 kB
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  • tau_serialize.py
    6.07 kB
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  • tokenizer.json
    12.8 MB
    xet
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  • tokenizer_config.json
    16.7 kB
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  • vocab.json
    6.72 MB
    tau-4b 12 days ago