Fill-Mask
Transformers
Safetensors
English
ultrabert
encoder
masked-language-modeling
long-context
custom_code
Instructions to use suryatmodulus/UltraBERT-380M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suryatmodulus/UltraBERT-380M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="suryatmodulus/UltraBERT-380M", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("suryatmodulus/UltraBERT-380M", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("suryatmodulus/UltraBERT-380M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from suryatmodulus/UltraBERT-380M: direct link, hf CLI and curl.
- Browser
- Download file 3.52 MB
-
https://huggingface.co/suryatmodulus/UltraBERT-380M/resolve/main/tokenizer.json
- Command line
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hf download hf://suryatmodulus/UltraBERT-380M/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/suryatmodulus/UltraBERT-380M/resolve/main/tokenizer.json
3.52 MB
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