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:
- 1465b9d33ca7dc45bdf7ca7c464504208b6a35472bda418cbc490cdb8a98fd5b
- Size of remote file:
- 656 MB
- SHA256:
- 9eab94d556cd9151ba760802bc2151c7ac51675bb81e017b25de41c1ebd6c3a0
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