Text Classification
Transformers
Safetensors
Turkish
bert
sentiment-analysis
finance
turkish
financial-nlp
finbert
financial bert
text-embeddings-inference
Instructions to use ff112/FinTurkBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ff112/FinTurkBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ff112/FinTurkBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ff112/FinTurkBERT") model = AutoModelForSequenceClassification.from_pretrained("ff112/FinTurkBERT") - Notebooks
- Google Colab
- Kaggle
Update README with validation metrics
Browse files
README.md
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## Evaluation Summary
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- Accuracy: `
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- Macro-F1: `0.
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## Intended Use
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## Evaluation Summary
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Validation results for the selected `75%+` configuration:
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- Accuracy: `87.01%`
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- Macro-F1: `0.8564`
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## Intended Use
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