Instructions to use tugstugi/bert-base-mongolian-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tugstugi/bert-base-mongolian-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tugstugi/bert-base-mongolian-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tugstugi/bert-base-mongolian-cased") model = AutoModelForMaskedLM.from_pretrained("tugstugi/bert-base-mongolian-cased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ac2160af1a512bb10727a4758ae00d6c645a9577881fe96e880a230696248a0
- Size of remote file:
- 443 MB
- SHA256:
- d93ded719de30fefcabe3f2c9474645c5776ba5dcf0a06d0a58193b2ee4733d5
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