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")# pip install -U transformers accelerate # 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
Download checkpoint-225/training_args.bin from Toxotes/fin-bert-tr-router: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/Toxotes/fin-bert-tr-router/resolve/main/checkpoint-225/training_args.bin
- Command line
-
hf download hf://Toxotes/fin-bert-tr-router/checkpoint-225/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Toxotes/fin-bert-tr-router/resolve/main/checkpoint-225/training_args.bin
5.27 kB
- Xet hash:
- fd84884bbf0026500ae37712956b93e6c755e8d2d39c422cbe67547aa71e5221
- Size of remote file:
- 5.27 kB
- SHA256:
- 60ca23d105e7290f4c5f2500d68d89996b07cd664a889d31bd6c74f4043d1f02
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