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flax-community
/
roberta-hindi

Fill-Mask
Transformers
PyTorch
JAX
TensorBoard
roberta
Model card Files Files and versions
xet
Metrics Training metrics Community
6

Instructions to use flax-community/roberta-hindi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use flax-community/roberta-hindi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="flax-community/roberta-hindi")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("flax-community/roberta-hindi")
    model = AutoModelForMaskedLM.from_pretrained("flax-community/roberta-hindi")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#6 opened over 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#5 opened over 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#4 opened over 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#3 opened over 2 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#2 opened almost 3 years ago by
SFconvertbot

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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