Instructions to use amankhandelia/panini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amankhandelia/panini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="amankhandelia/panini")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("amankhandelia/panini") model = AutoModelForMaskedLM.from_pretrained("amankhandelia/panini", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Minor Code cleanup in utils file
amank7007f93
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Made change to cleaning code, modified number of warmpu step, getting eval samples from validation split
amank7839b8e
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Updated code to work with streaming version
amank139e10d