Instructions to use hemekci/off_detection_turkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hemekci/off_detection_turkish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hemekci/off_detection_turkish")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hemekci/off_detection_turkish") model = AutoModelForSequenceClassification.from_pretrained("hemekci/off_detection_turkish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from hemekci/off_detection_turkish: direct link, hf CLI and curl.
- Browser
- Download file 737 MB
-
https://huggingface.co/hemekci/off_detection_turkish/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://hemekci/off_detection_turkish/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/hemekci/off_detection_turkish/resolve/main/flax_model.msgpack
737 MB
- Xet hash:
- d9747c00f677b4c5d28ab127d930e8601eeac06b7d2701d22f64b8674a7e2e33
- Size of remote file:
- 737 MB
- SHA256:
- 245508596123b1b0f5a2d5c8c25a7204ed5935e44222bf275ce8da684cfa09fb
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