Instructions to use tugstugi/bert-large-mongolian-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tugstugi/bert-large-mongolian-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="tugstugi/bert-large-mongolian-uncased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("tugstugi/bert-large-mongolian-uncased") model = AutoModelForMaskedLM.from_pretrained("tugstugi/bert-large-mongolian-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f07957526e12efd64325859132391c546f00a55923269fc243a70bc8dc2fd4ed
- Size of remote file:
- 1.35 GB
- SHA256:
- 24907c241877c5eaacef677520603c8015a84c423287b4048838decd3d5b34bd
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