Text Classification
Transformers
Safetensors
Turkish
bert
turkish
nlp
siriusai
production-ready
enterprise
Eval Results (legacy)
text-embeddings-inference
Instructions to use hayatiali/turn-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hayatiali/turn-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hayatiali/turn-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hayatiali/turn-detector") model = AutoModelForSequenceClassification.from_pretrained("hayatiali/turn-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 835e507cebce654094ec0a50de95338dcac8a435e7a25872ae0e0a8b1bd99854
- Size of remote file:
- 5.84 kB
- SHA256:
- 1502a401bd9d1d7469710211efa36b287addea220a6762248357b0afb9e79f51
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