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
- Xet hash:
- ae8a9e8f46a995d4bbc5c6c779cfcfd1dc6a05707451014970dda2c877fac5ed
- Size of remote file:
- 5.5 kB
- SHA256:
- 2f6a06a7a88b569c8e35cbce4ab8556657e24cbfad1e489f1707a80782e3ae26
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