Instructions to use this-is-real/mrc-pretrained-roberta-large-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use this-is-real/mrc-pretrained-roberta-large-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="this-is-real/mrc-pretrained-roberta-large-1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("this-is-real/mrc-pretrained-roberta-large-1") model = AutoModelForMaskedLM.from_pretrained("this-is-real/mrc-pretrained-roberta-large-1") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
- model: klue/roberta-large
- learning rate: 1e-4
- lr scheduler type: linear
- weight decay: 0.01
- epochs: 5
- checkpoint: 2700
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