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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mc4 epoch14 exported torch config & tokenizer
b67485b
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mc4 epoch2
a1235b3
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Updated tokenizer kagglemodels_and_oscar_hindi_only
3c44756 -
tzz
398ec26
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All set to train
Aman K6a876f9