Instructions to use bayartsogt/albert-mongolian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bayartsogt/albert-mongolian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bayartsogt/albert-mongolian")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bayartsogt/albert-mongolian") model = AutoModelForMaskedLM.from_pretrained("bayartsogt/albert-mongolian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5b0a43712effe6e1642ce4e40b6662b397e0ce3993ac0dc902ca6a3ea4c2799
- Size of remote file:
- 47.3 MB
- SHA256:
- 8dee90b91d9297eec3b83d6bd9647fd57b9acc3cb3432c03e6b00bfb06d77d5b
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