Fill-Mask
Transformers
Safetensors
English
ultrabert
encoder
masked-language-modeling
long-context
custom_code
Instructions to use dmis-lab/UltraBERT-380M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dmis-lab/UltraBERT-380M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dmis-lab/UltraBERT-380M", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dmis-lab/UltraBERT-380M", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("dmis-lab/UltraBERT-380M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
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