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:
- 18508d5fef4a30b593d6c04cbbcc762de0840b9fd65c9a138a19fec913bf8667
- Size of remote file:
- 438 MB
- SHA256:
- 7f8f030e41ae8b2ce5ffd23014f06899a1a9973268d13ebfa98fd8b2f551dfd6
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