Text Classification
Transformers
Safetensors
Korean
bert
korean
mental-health
depression-detection
text-embeddings-inference
Instructions to use gamzaS2/final_depression_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gamzaS2/final_depression_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gamzaS2/final_depression_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gamzaS2/final_depression_model") model = AutoModelForSequenceClassification.from_pretrained("gamzaS2/final_depression_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
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