Text Classification
Transformers
Safetensors
Turkish
bert
turkish
content-moderation
multi-label-classification
safety
moderation
nlp
Eval Results (legacy)
text-embeddings-inference
Instructions to use hayatiali/turkish-safety with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hayatiali/turkish-safety with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hayatiali/turkish-safety")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hayatiali/turkish-safety") model = AutoModelForSequenceClassification.from_pretrained("hayatiali/turkish-safety", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3b2e8b4ba93dae734dd82902c35310a1189fecb0487254a029bc70ad6b2e150
- Size of remote file:
- 4.79 kB
- SHA256:
- fade3d3bcd65cd74f067578e630ef2b3be1339da03368c34b671734cc3ebb9bd
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