Instructions to use dbmdz/convbert-base-turkish-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbmdz/convbert-base-turkish-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dbmdz/convbert-base-turkish-cased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dbmdz/convbert-base-turkish-cased") model = AutoModel.from_pretrained("dbmdz/convbert-base-turkish-cased", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08dea4de1545bb473366ca388d2e3637931d6bdd7e174be68862ef4c0ea1c505
- Size of remote file:
- 427 MB
- SHA256:
- 5790158f48893b39967df6b9b6dafd60e6456d0576f8c1de2c68c177a5d7217b
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