Instructions to use nyu-mll/roberta-base-100M-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyu-mll/roberta-base-100M-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nyu-mll/roberta-base-100M-2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nyu-mll/roberta-base-100M-2") model = AutoModelForMaskedLM.from_pretrained("nyu-mll/roberta-base-100M-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 127165084665ba3e4777ad1ac39805d7c9bf2de2bac50088a14bd5583a642f4f
- Size of remote file:
- 499 MB
- SHA256:
- 29969d4873fb3174f41e0e8dc8e156ee6b7f291e74ea8194146b60fcc048c365
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