Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Apoksk1/convbert-base-turkish-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Apoksk1/convbert-base-turkish-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Apoksk1/convbert-base-turkish-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Apoksk1/convbert-base-turkish-cased") model = AutoModelForSequenceClassification.from_pretrained("Apoksk1/convbert-base-turkish-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Apoksk1/convbert-base-turkish-cased: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/Apoksk1/convbert-base-turkish-cased/resolve/main/training_args.bin
- Command line
-
hf download hf://Apoksk1/convbert-base-turkish-cased/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Apoksk1/convbert-base-turkish-cased/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 110547eec16019dd91ce104b7b896c064f14a9ca44629f95e152aae4d208f9c3
- Size of remote file:
- 4.98 kB
- SHA256:
- d1ce0066243172810053b8f566257a6eb82040eefdf47f77009f9eee3f241486
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