Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use oglcnarbc/turkish-case-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use oglcnarbc/turkish-case-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="oglcnarbc/turkish-case-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("oglcnarbc/turkish-case-classifier") model = AutoModelForSequenceClassification.from_pretrained("oglcnarbc/turkish-case-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from oglcnarbc/turkish-case-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/oglcnarbc/turkish-case-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://oglcnarbc/turkish-case-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/oglcnarbc/turkish-case-classifier/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- b4648d3e49349d2baac2c58c95f2963dc25c5cc866d7f00ad3ebf77bd3d74197
- Size of remote file:
- 5.78 kB
- SHA256:
- 2a6c63bc457534227e4efe73bb574b0fa5f9aff4d3ca50c8446d5681eeb3fb87
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