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:
- 619094b19b076566e5be03f76939cada8a1ddd6b4a144b13ad2d47e70cc11b6c
- Size of remote file:
- 443 MB
- SHA256:
- 232bfbc1575cf6c0f03d096280174e66f78f8606166679db703f404e62e3b14e
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