Instructions to use ytu-ce-cosmos/modernbert-tr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ytu-ce-cosmos/modernbert-tr-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ytu-ce-cosmos/modernbert-tr-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ytu-ce-cosmos/modernbert-tr-base") model = AutoModelForMaskedLM.from_pretrained("ytu-ce-cosmos/modernbert-tr-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74a98b7dd901d92791705b9f6c17f67140ec594fbfb7fcec1dafdc9e013fa6ed
- Size of remote file:
- 598 MB
- SHA256:
- db83c2e8bfe8cb958e3a96bf271bf57d9497a6d35dec877d9d1c3e605c8a6ea8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.