Fill-Mask
Transformers
Safetensors
English
deberta-v2
babylm
deberta-v3
masked-lm
visual-grounding
data-efficient-pretraining
Instructions to use augustinian-babylm/deberta-base-50k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use augustinian-babylm/deberta-base-50k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="augustinian-babylm/deberta-base-50k")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("augustinian-babylm/deberta-base-50k") model = AutoModelForMaskedLM.from_pretrained("augustinian-babylm/deberta-base-50k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from augustinian-babylm/deberta-base-50k: direct link, hf CLI and curl.
- Browser
- Download file 3.59 MB
-
https://huggingface.co/augustinian-babylm/deberta-base-50k/resolve/main/tokenizer.json
- Command line
-
hf download hf://augustinian-babylm/deberta-base-50k/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/augustinian-babylm/deberta-base-50k/resolve/main/tokenizer.json
3.59 MB
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