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")# pip install -U transformers accelerate # 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
Download tokenizer.json from MiMe-MeMo/MeMo-BERT-03: direct link, hf CLI and curl.
- Browser
- Download file 3.8 MB
-
https://huggingface.co/MiMe-MeMo/MeMo-BERT-03/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://MiMe-MeMo/MeMo-BERT-03@refs/pr/2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/MiMe-MeMo/MeMo-BERT-03/resolve/refs%2Fpr%2F2/tokenizer.json
3.8 MB
File too large to display, you can check the raw version instead.