Instructions to use Cheng98/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cheng98/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Cheng98/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Cheng98/roberta-base") model = AutoModelForMaskedLM.from_pretrained("Cheng98/roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99c434c674ed801876ccbfcc186e3ced280d46d6171db7450ef0313d7487a83e
- Size of remote file:
- 499 MB
- SHA256:
- d4d684597748b1cf2d9daf4bafde890edecaf4b83db199c59beec86dd2c85f47
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