Instructions to use Multiperspective/roberta-soft-hd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Multiperspective/roberta-soft-hd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Multiperspective/roberta-soft-hd")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Multiperspective/roberta-soft-hd") model = AutoModelForSequenceClassification.from_pretrained("Multiperspective/roberta-soft-hd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 100c75ea6b7bf15904fdcd7b8e553505c52007356d984ed3672c633221db1d47
- Size of remote file:
- 1.42 GB
- SHA256:
- 2072cfe761efac9d36ca248bb64627a3c52213817f89313a28c35dea93d1b354
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