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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17f02352a655dd32b36b49c703caf5291a7cf085307a64532702b317a0bf849f
- Size of remote file:
- 5.78 kB
- SHA256:
- 0200bb65fbd07e3d7620a03c006c5f392274486e188096f5d0f8f22919b3bd9f
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