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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6510e7094db3ed9c25413b9113a59dde9c8631bc8af10c2ca099f87d5104792
- Size of remote file:
- 501 MB
- SHA256:
- 5da3fd0f1f051018b84d87d3f26ce9054d874c40f450c80a297ea6e985a16f69
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