Instructions to use tugstugi/bert-base-mongolian-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tugstugi/bert-base-mongolian-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tugstugi/bert-base-mongolian-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tugstugi/bert-base-mongolian-uncased") model = AutoModelForMaskedLM.from_pretrained("tugstugi/bert-base-mongolian-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e338ab690862c46403dbe548eb7476ddf6360c4e0c3603f905d8c5fd08a89e04
- Size of remote file:
- 445 MB
- SHA256:
- 866380e7756622c93c94b7ffc28cf036b3e621f5e2f596b2d7886c55577d771b
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