Instructions to use FacebookAI/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/roberta-base") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/roberta-base") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc535ab3097a56e20bcc503fc9284ea31b20020638626504e33ed18633920fda
- Size of remote file:
- 499 MB
- SHA256:
- 5bde1d28afb363d0103324efeb5afc8b2b397fe5e04beabb9b1ef355255ade81
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