Instructions to use BrianTin/MTBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BrianTin/MTBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BrianTin/MTBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BrianTin/MTBERT") model = AutoModelForMaskedLM.from_pretrained("BrianTin/MTBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5082b68afa85a51c582d12340b41cff16b9715ec0f3c771e18c4f8eb5cf7284e
- Size of remote file:
- 409 MB
- SHA256:
- 21235926a3b90cf5f51ea6826192608f935c5cc96530b38fcb0531757202060e
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