Instructions to use nyu-mll/roberta-base-10M-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyu-mll/roberta-base-10M-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nyu-mll/roberta-base-10M-2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nyu-mll/roberta-base-10M-2") model = AutoModelForMaskedLM.from_pretrained("nyu-mll/roberta-base-10M-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 211d9ec9ed3c53d28f0a72463ade49371bebd969cac4032d9f48b4e85152a17a
- Size of remote file:
- 499 MB
- SHA256:
- a139dbd0745bc7f83fa48f9d556e7866fe6dddb5ba88772039bb3e4d01f87069
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