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
Adding `safetensors` variant of this model
#6 opened almost 3 years ago
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Adding `safetensors` variant of this model
#5 opened almost 3 years ago
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Adding `safetensors` variant of this model
#4 opened almost 3 years ago
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Adding `safetensors` variant of this model
#3 opened almost 3 years ago
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Adding `safetensors` variant of this model
#2 opened almost 3 years ago
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Adding `safetensors` variant of this model
#1 opened over 3 years ago
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