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")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DunbaaBERT/DunbaaBERT_32k_base") model = AutoModelForMaskedLM.from_pretrained("DunbaaBERT/DunbaaBERT_32k_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d779690c7c7c2e18ebca43858be712158085c3798839e649b661e4cbf5d6176
- Size of remote file:
- 443 MB
- SHA256:
- 6040f381388e4bd3c86cf3bbeb2f7e1688ae16d88c4f796a14bafb41f356b4c8
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