Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use yagizfirat/bankbert_turkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yagizfirat/bankbert_turkish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yagizfirat/bankbert_turkish")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yagizfirat/bankbert_turkish") model = AutoModelForSequenceClassification.from_pretrained("yagizfirat/bankbert_turkish") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c22e50388505133a0be9cb83c9982333880af87d4e0b150e3d991368ca901a0d
- Size of remote file:
- 5.3 kB
- SHA256:
- fe87473cda46821b16d14cfea67a590a654221c365b0460ea3d5838e2da1c110
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