Instructions to use artiwise-ai/modernbert-base-tr-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artiwise-ai/modernbert-base-tr-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="artiwise-ai/modernbert-base-tr-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("artiwise-ai/modernbert-base-tr-uncased") model = AutoModelForMaskedLM.from_pretrained("artiwise-ai/modernbert-base-tr-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e25dcb03864275bba10463e7f7d7fadea0359f3bf19a4c8eded56e77bb2abc7
- Size of remote file:
- 542 MB
- SHA256:
- c04ce76a5434dc05f4c5f71d5fdc192b3680d1e34f9207759a87b45181f99d3f
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