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:
- fed6bc4605bb225e9723e4e404f364344c229eb31db020034e99ea230c4a11ca
- Size of remote file:
- 1.42 GB
- SHA256:
- 267290826382ce535d85a7b59168134949f53f76a19604e3f2a2d1d0ec35f85e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.