Instructions to use mrm8488/RuPERTa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/RuPERTa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mrm8488/RuPERTa-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/RuPERTa-base") model = AutoModelForMaskedLM.from_pretrained("mrm8488/RuPERTa-base") - Notebooks
- Google Colab
- Kaggle
Update training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:12b851a7cdf8d3e152ea1676b1f4cea976dc6be680e0e4c9cde1a692642d4201
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size 1005
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