Instructions to use nyu-mll/roberta-base-100M-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyu-mll/roberta-base-100M-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nyu-mll/roberta-base-100M-3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nyu-mll/roberta-base-100M-3") model = AutoModelForMaskedLM.from_pretrained("nyu-mll/roberta-base-100M-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b72be9cf7d3d114aaa07036b1cb8dd04943363cefed7eb52b91a28bf30c54dc9
- Size of remote file:
- 499 MB
- SHA256:
- 3f3d7305ac5bebdc6f261b9449dabb2106972fd6ec7566ab823d9d0f5f1ce27b
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