Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HrantDinkFoundation/turkish-hs-2class-prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HrantDinkFoundation/turkish-hs-2class-prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HrantDinkFoundation/turkish-hs-2class-prediction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HrantDinkFoundation/turkish-hs-2class-prediction") model = AutoModelForSequenceClassification.from_pretrained("HrantDinkFoundation/turkish-hs-2class-prediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fd1f021fb2db7fa6d97aa60b3080003f612272cd8c0a0431c81d3c742f43796a
- Size of remote file:
- 5.43 kB
- SHA256:
- f509d1c56e34a59bfa5c050f6aaa5e00bd294a3f936b6c64a72082ece41186be
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