Instructions to use pere/nb-roberta-base-old with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/nb-roberta-base-old with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pere/nb-roberta-base-old")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pere/nb-roberta-base-old") model = AutoModelForMaskedLM.from_pretrained("pere/nb-roberta-base-old") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17f7b9f38232edc7552196bcfab99b9a17c93ba5d2f888bdf6482ef11455a5e1
- Size of remote file:
- 1.11 GB
- SHA256:
- 53de9ede7bbaaa6bf1a6b93cad07919e816f6fe86248902ba03e939f56ed15b7
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