Instructions to use JoshuaAAX/roberta-large-binary-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoshuaAAX/roberta-large-binary-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JoshuaAAX/roberta-large-binary-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JoshuaAAX/roberta-large-binary-classification") model = AutoModelForSequenceClassification.from_pretrained("JoshuaAAX/roberta-large-binary-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9df003339cf64e15a311a029ff003a096319cd3ea943aa4785065c5216a6c752
- Size of remote file:
- 1.42 GB
- SHA256:
- 443df74619bd134e866996d772cdd208205bbcb8493aa420cadc7d0ea317791c
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