Instructions to use nyu-mll/roberta-base-1B-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nyu-mll/roberta-base-1B-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nyu-mll/roberta-base-1B-2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nyu-mll/roberta-base-1B-2") model = AutoModelForMaskedLM.from_pretrained("nyu-mll/roberta-base-1B-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41e0b9f1a5788eb18a46f131f116524d7888b57b2afaf44f45f72b68b2e87ad6
- Size of remote file:
- 501 MB
- SHA256:
- 71d4e8fb9b7db594db893db00e60b78fbcc7d27c051fe1dba64f5de359c7d713
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