Instructions to use Zlovoblachko/roberta-base_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Zlovoblachko/roberta-base_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Zlovoblachko/roberta-base_binary")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Zlovoblachko/roberta-base_binary") model = AutoModelForTokenClassification.from_pretrained("Zlovoblachko/roberta-base_binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6c5ad385c12b5bff908716d5aebbd12f0d17b0fc729b36c607fe2ecfb268c0e
- Size of remote file:
- 496 MB
- SHA256:
- bfd804acac23fb1fd70af6c73ea64ff1d34128c05f934f99edf9ef1f3df0d22d
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