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:
- f819ed81894ffe586c49aa2710bb8b0d0f45b5271374f2ac49b5aabce7fbf1b1
- Size of remote file:
- 657 MB
- SHA256:
- 8ad49e51cdfa998f1d26f24d6966e1a00c3df44c6e334995fdb4d622ce1e4e10
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