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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf65546848b1a1705cb65e47718148133dc0fe2ae20bdcd6e3677e8f789f770b
- Size of remote file:
- 443 MB
- SHA256:
- 32ff915d5f935669180fa9ab000a8ecb97df80441e983af48b82022d3b008531
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