Instructions to use paulagarciaserrano/roberta-depression-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paulagarciaserrano/roberta-depression-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="paulagarciaserrano/roberta-depression-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("paulagarciaserrano/roberta-depression-detection") model = AutoModelForSequenceClassification.from_pretrained("paulagarciaserrano/roberta-depression-detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 725e1b087a9e42810464e53c3d62c39e43ec2bb93999f5ef19b8eb73aa63772e
- Size of remote file:
- 499 MB
- SHA256:
- aca7745b1972e8d57a97f7e042734920044b876a9239bee1ff3eca92c095566f
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