Fill-Mask
Transformers
Safetensors
Urdu
avey-b
urdu
masked-language-modeling
encoder
custom_code
Eval Results (legacy)
Instructions to use SndOpenResearch/avey-b-ur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SndOpenResearch/avey-b-ur with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SndOpenResearch/avey-b-ur", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("SndOpenResearch/avey-b-ur", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Document Avey-B Urdu provenance without new scores (#1)
- Document Avey-B Urdu provenance without new scores (3cb389156cfc238717308160de6570aa7d6fbf67)1eddf53
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Update README.md
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Publish Avey-B Urdu 25M with benchmarks and model card
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initial commit
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