Fill-Mask
Transformers
PyTorch
Safetensors
Urdu
roberta
urdu
masked-language-modeling
encoder
dunbaabert
Instructions to use DunbaaBERT/DunbaaBERT_32k_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunbaaBERT/DunbaaBERT_32k_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DunbaaBERT/DunbaaBERT_32k_base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DunbaaBERT/DunbaaBERT_32k_base") model = AutoModelForMaskedLM.from_pretrained("DunbaaBERT/DunbaaBERT_32k_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (78f1cd8ac7407d93f3a7b3b5f3e2cf58b3f7893f) Co-authored-by: Maab <Iffy24@users.noreply.huggingface.co>5b0a7be
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