Instructions to use JoshuaAAX/roberta-base-binary-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoshuaAAX/roberta-base-binary-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JoshuaAAX/roberta-base-binary-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JoshuaAAX/roberta-base-binary-classification") model = AutoModelForSequenceClassification.from_pretrained("JoshuaAAX/roberta-base-binary-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6094a659dea5b0fbcdb2e769d8e2a5e6d7e8e40bb0af598bf967810239bc7683
- Size of remote file:
- 499 MB
- SHA256:
- 64e4fb2ff5177e3328f0a4c1d15d4c25f31845aa04edf05e88ed9de082c9f9ee
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