Instructions to use uygarkurt/tiny-bert-turkish-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uygarkurt/tiny-bert-turkish-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="uygarkurt/tiny-bert-turkish-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("uygarkurt/tiny-bert-turkish-cased") model = AutoModelForMaskedLM.from_pretrained("uygarkurt/tiny-bert-turkish-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 317ee57c6bea17f5531d48af84f428125076fc3bf75046ddc85278069850ec4c
- Size of remote file:
- 18.4 MB
- SHA256:
- 5eb910dd958a3530172655562a4a513e9eee178c9dd9dcf8e390214a3e85de6a
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