Instructions to use versae/roberta-base-ncc-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use versae/roberta-base-ncc-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="versae/roberta-base-ncc-512")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("versae/roberta-base-ncc-512") model = AutoModelForMaskedLM.from_pretrained("versae/roberta-base-ncc-512") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15b1d14b164739fbc4090dd3198579072774199b949bf45649481e4af76e6fb8
- Size of remote file:
- 499 MB
- SHA256:
- a7a5f1315f1a13261e29a36e0d6fbe741538faa870ca9abf7991df8022d986b2
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