Fill-Mask
Transformers
PyTorch
Safetensors
Urdu
roberta
urdu
masked-language-modeling
encoder
dunbaabert
Instructions to use DunbaaBERT/DunbaaBERT_96k_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunbaaBERT/DunbaaBERT_96k_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DunbaaBERT/DunbaaBERT_96k_base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DunbaaBERT/DunbaaBERT_96k_base") model = AutoModelForMaskedLM.from_pretrained("DunbaaBERT/DunbaaBERT_96k_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (4450de674a9f9f9845fdc97e2cda3b84bf7347c9)
Co-authored-by: Maab <Iffy24@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bd150d67dca613977e17a3414530bf9ef6c584bbf13364b8a41fcb7a5bbc4c15
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size 639526700
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