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
Adding `safetensors` variant of this model
#1
by Iffy24 - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f403d5b08fb9dc4cf4bb4b03357d20c29d46e015589b55abd131c814ae7a6038
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size 442662700
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