Instructions to use nyu-mll/roberta-base-1B-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyu-mll/roberta-base-1B-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nyu-mll/roberta-base-1B-2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nyu-mll/roberta-base-1B-2") model = AutoModelForMaskedLM.from_pretrained("nyu-mll/roberta-base-1B-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cf4f027feea8dd689a5a34023ecdc0061481064a7d73e1f5f2f044ca68fd964
- Size of remote file:
- 499 MB
- SHA256:
- 3a38557c5389ca2786faa2c14cb30ebbf21527004b14bf0265762917c15739d6
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