Instructions to use gijs/roberta-large-aces with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gijs/roberta-large-aces with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="gijs/roberta-large-aces")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("gijs/roberta-large-aces") model = AutoModelForTokenClassification.from_pretrained("gijs/roberta-large-aces") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f99180fb7d2ce4d6106d78954413fde0612f1e54f3d765bc9d759dc26dc2af2
- Size of remote file:
- 1.42 GB
- SHA256:
- ad8b69300b1d4287703388ffd70888a55cab5df27543d7260147a8838c606e51
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