Text Classification
Transformers
Safetensors
Turkish
bert
turkish
finance
router
query-classification
text-embeddings-inference
Instructions to use Toxotes/fin-bert-tr-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Toxotes/fin-bert-tr-router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Toxotes/fin-bert-tr-router")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Toxotes/fin-bert-tr-router") model = AutoModelForSequenceClassification.from_pretrained("Toxotes/fin-bert-tr-router", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f5540d6f2d0cde568ba0898af60e539101a2f2fc121700cb2ddc9f565320d11
- Size of remote file:
- 885 MB
- SHA256:
- 2e13e7cbbad2737a9fbe417ce50e8be8108235831cb7653c10f5592254f8542d
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