Instructions to use nyu-mll/roberta-base-1B-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyu-mll/roberta-base-1B-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nyu-mll/roberta-base-1B-1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nyu-mll/roberta-base-1B-1") model = AutoModelForMaskedLM.from_pretrained("nyu-mll/roberta-base-1B-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 79b8234fc69bc979836bc5160105ce5e77c2f0e5b94cce747311ef3a507fda25
- Size of remote file:
- 501 MB
- SHA256:
- b1ecdbe5005acb41119b6fda603626355334e48afd9fd9a3f8c6edf6577edda1
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