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:
- 4f34a1efaa26bd52596929cc0ab000217bd549ac0455bf9cc416fcb295d4a314
- Size of remote file:
- 1.42 GB
- SHA256:
- 047c85f0b96269cd62e6f732644f067004eebd95af5b5d35965ae2528f13bf38
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