Instructions to use flax-community/roberta-base-mr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/roberta-base-mr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flax-community/roberta-base-mr")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flax-community/roberta-base-mr") model = AutoModelForMaskedLM.from_pretrained("flax-community/roberta-base-mr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# RoBERTa base model for Marathi language
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Pretrained model on Marathi language using a masked language modeling (MLM) objective. RoBERTa was introduced in
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[this paper](https://arxiv.org/abs/1907.11692) and first released in
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# RoBERTa base model for Marathi language (मराठी भाषा)
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Pretrained model on Marathi language using a masked language modeling (MLM) objective. RoBERTa was introduced in
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[this paper](https://arxiv.org/abs/1907.11692) and first released in
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