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
Document Avey-B Urdu provenance without new scores
#1
by mahwizzzz - opened
Reorganizes the card into purpose, attribution, data, training, evaluation, limitations, license, and usage. Reported scores are unchanged. Unstated run counts and comparison checkpoints are marked as not reported.
mahwizzzz changed pull request status to merged