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:
- 9b930e9db9062a64b2cd4ac3178a505d52788f15b6d8386e7e548dae860d033e
- Size of remote file:
- 5.27 kB
- SHA256:
- b361e9d2d4edf6502c9a6e08cc02cd58d8e6765115de81b91f649aabae2519e6
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