Instructions to use MiMe-MeMo/MeMo-BERT-02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MiMe-MeMo/MeMo-BERT-02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MiMe-MeMo/MeMo-BERT-02")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MiMe-MeMo/MeMo-BERT-02") model = AutoModelForMaskedLM.from_pretrained("MiMe-MeMo/MeMo-BERT-02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cbd4bf2a9fd48f7fdafb81eb214027fe2416577d6f09d988da183a679672012
- Size of remote file:
- 1.66 kB
- SHA256:
- 72f71157426319b565e5c765a9910d5e420c30a9f1373acd3608ec22e03518a0
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