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:
- a5bd9c96ad82718d2941b196cf42dfcb7b11af2ffce49ff8d8806a57d2281ec6
- Size of remote file:
- 1.63 MB
- SHA256:
- 2533082673d219b88ca9ee654b49e7598f626d4bbb4ba6ea95262852bb82b8f6
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