Instructions to use deborahcodes/DistilBERT-depression-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deborahcodes/DistilBERT-depression-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deborahcodes/DistilBERT-depression-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("deborahcodes/DistilBERT-depression-detector") model = AutoModelForSequenceClassification.from_pretrained("deborahcodes/DistilBERT-depression-detector") - Notebooks
- Google Colab
- Kaggle
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- **Developed by:** deborahcodes
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- **Finetuned from model
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- **Developed by:** deborahcodes
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- **Finetuned from model:** distilbert-base-uncased
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