Instructions to use Davlan/oyo-mt-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/oyo-mt-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Davlan/oyo-mt-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Davlan/oyo-mt-bert-base") model = AutoModelForMaskedLM.from_pretrained("Davlan/oyo-mt-bert-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cdf251b16ba97a6512fead3be0c184a19da7080fc0ddee8148e67f0803dcaf6
- Size of remote file:
- 445 MB
- SHA256:
- f0478cfd16b105060ddfe6042d9ab38bf7066094b6fe4d19433e098bfe789ce2
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