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/tokenizer.json from PhaaNe/gpt_depression: direct link, hf CLI and curl.
- Browser
- Download file 27.9 MB
-
https://huggingface.co/PhaaNe/gpt_depression/resolve/main/checkpoint-600/tokenizer.json
- Command line
-
hf download hf://PhaaNe/gpt_depression/checkpoint-600/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/PhaaNe/gpt_depression/resolve/main/checkpoint-600/tokenizer.json
27.9 MB
- Xet hash:
- c55846686d68918bb333fea55bb0c66fba7ff4aa4b2c3f34145a521ddf4050c6
- Size of remote file:
- 27.9 MB
- SHA256:
- 0614fe83cadab421296e664e1f48f4261fa8fef6e03e63bb75c20f38e37d07d3
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