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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1851f2d271c577b30eefb6cb23ddb115282e14fd8c7cf2855e7991830fbbf2ce
- Size of remote file:
- 499 MB
- SHA256:
- f84da6fceb9936906a58eafe7ef1ceb4e7f94978a833b73bd88f0f0bb2c67b50
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