Instructions to use FacebookAI/roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/roberta-large") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/roberta-large") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 895ed04b7431f30cac9721b462d9876b11d16d051906d717a33660cb2c1dfbf6
- Size of remote file:
- 1.43 GB
- SHA256:
- 36a10a8b694fadf9bf4f9049d14e257e88be45313ae02d882af9e60f39b8b2e8
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