Instructions to use MahmutCanBoran/bertbank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MahmutCanBoran/bertbank with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MahmutCanBoran/bertbank")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MahmutCanBoran/bertbank") model = AutoModelForSequenceClassification.from_pretrained("MahmutCanBoran/bertbank", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c17b1f3040dcc8762a84556462aca3f1bc191a3133e7ddb30a100018d68bcd2a
- Size of remote file:
- 5.3 kB
- SHA256:
- ff85b04124b4b588ba86cb325d77fd049850dc23be4e74a2b1304f65c77355cd
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