Instructions to use nyu-mll/roberta-base-1B-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyu-mll/roberta-base-1B-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nyu-mll/roberta-base-1B-3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nyu-mll/roberta-base-1B-3") model = AutoModelForMaskedLM.from_pretrained("nyu-mll/roberta-base-1B-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a087bce9decd35fd0a518330c1267a881b70d1f632ead987784b503ab0357277
- Size of remote file:
- 499 MB
- SHA256:
- 12175cb088607e08dfc219c334860fad07138086fe4b406533ed558adc0d77d4
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