Instructions to use bayartsogt/mongolian-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bayartsogt/mongolian-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bayartsogt/mongolian-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bayartsogt/mongolian-roberta-base") model = AutoModelForMaskedLM.from_pretrained("bayartsogt/mongolian-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ee0725390ff058537e46f46bdd158edb453e2358ef95efbc289be9648481a35
- Size of remote file:
- 499 MB
- SHA256:
- 3f412ee645cd9a4e0c84a931884fa9156aaff19d16f57938935c1caa22c7e651
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