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")# pip install -U transformers accelerate # 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
Commit History
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Best model flax + pytorch converted
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Large model with 10% validation set
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Trained upto ~2 epoch and 22500 steps
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roberta-base-mr trained with 2 epochs 77500 steps
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