Fill-Mask
Transformers
PyTorch
Safetensors
Urdu
roberta
urdu
masked-language-modeling
encoder
dunbaabert
Instructions to use DunbaaBERT/DunbaaBERT_52k_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunbaaBERT/DunbaaBERT_52k_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DunbaaBERT/DunbaaBERT_52k_base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DunbaaBERT/DunbaaBERT_52k_base") model = AutoModelForMaskedLM.from_pretrained("DunbaaBERT/DunbaaBERT_52k_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10aac7c7fa8a53622a60c610878b904dbc8db9e81b4b610b07768b6b6ef8f83c
- Size of remote file:
- 504 MB
- SHA256:
- 3471eae91158f3a093416eee1f8c4e6a193e1f8643b2bb03a37df2120870f783
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