Text Classification
Transformers
Safetensors
PEFT
English
depression-detection
mental-health
qlora
psychology
healthcare
Instructions to use PhaaNe/gpt_depression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PhaaNe/gpt_depression with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PhaaNe/gpt_depression")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PhaaNe/gpt_depression", device_map="auto") - PEFT
How to use PhaaNe/gpt_depression with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download checkpoint-600/optimizer.pt from PhaaNe/gpt_depression: direct link, hf CLI and curl.
- Browser
- Download file 32.6 MB
-
https://huggingface.co/PhaaNe/gpt_depression/resolve/main/checkpoint-600/optimizer.pt
- Command line
-
hf download hf://PhaaNe/gpt_depression/checkpoint-600/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/PhaaNe/gpt_depression/resolve/main/checkpoint-600/optimizer.pt
32.6 MB
- Xet hash:
- bd0cd9e1f3d0ad88772e5aeabe37fccd2bcf2d192d084f0dd4bac635fe7e1682
- Size of remote file:
- 32.6 MB
- SHA256:
- df2e2e72d4168c315c7dea89f05ceafe4b58c1f08dfe2e2d215bcddccc65253a
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