Fill-Mask
Transformers
PyTorch
Danish
Norwegian
xlm-roberta
historical-texts
digital-humanities
sentiment-analysis
word-sense-disambiguation
danish
norwegian
Eval Results (legacy)
Instructions to use MiMe-MeMo/MeMo-BERT-03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MiMe-MeMo/MeMo-BERT-03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="MiMe-MeMo/MeMo-BERT-03")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("MiMe-MeMo/MeMo-BERT-03") model = AutoModelForMaskedLM.from_pretrained("MiMe-MeMo/MeMo-BERT-03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19fc53dcb0cc1dc5cb31ff1d8eef6331aadd9a3eafa5e5b12b72d5cb5e47ffdf
- Size of remote file:
- 498 MB
- SHA256:
- 14be1657fd46eae6f2aadc079f35517fa2e25f051f3bc5196edfa269a5ac5e0e
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