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
Download img/ultrabert_passkey.png from dmis-lab/UltraBERT-380M: direct link, hf CLI and curl.
- Browser
- Download file 695 kB
-
https://huggingface.co/dmis-lab/UltraBERT-380M/resolve/main/img/ultrabert_passkey.png
- Command line
-
hf download hf://dmis-lab/UltraBERT-380M/img/ultrabert_passkey.png
-
curl -L -o ultrabert_passkey.png https://huggingface.co/dmis-lab/UltraBERT-380M/resolve/main/img/ultrabert_passkey.png
695 kB

- Xet hash:
- 2d1b361431b57892ba66347d420e1995c29098e08457f9456bacfec522cbbf54
- Size of remote file:
- 695 kB
- SHA256:
- c2f3322de45d2d90daaa29d6af8379eae62c5e81aab17113d6d1b0fd5d8d683e
·
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