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)
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
Ctrl+K