Instructions to use YWZBrandon/roberta-large_ds1000_upsample1000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YWZBrandon/roberta-large_ds1000_upsample1000 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="YWZBrandon/roberta-large_ds1000_upsample1000")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("YWZBrandon/roberta-large_ds1000_upsample1000") model = AutoModelForMaskedLM.from_pretrained("YWZBrandon/roberta-large_ds1000_upsample1000") - Notebooks
- Google Colab
- Kaggle
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