Instructions to use FiratIsmailoglu/bigbird-turkish-pretrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FiratIsmailoglu/bigbird-turkish-pretrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FiratIsmailoglu/bigbird-turkish-pretrained")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FiratIsmailoglu/bigbird-turkish-pretrained") model = AutoModelForMaskedLM.from_pretrained("FiratIsmailoglu/bigbird-turkish-pretrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2fbab4033dd75f1759eae3ba521eda7c74977b41d63204c9bdf1879a72dac845
- Size of remote file:
- 57.1 MB
- SHA256:
- cfdfb10a0fcfc8a48a0e868da407e6b3cad2122c0f07d194ad4927212a7b7558
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