Text Classification
Transformers
Safetensors
PyTorch
English
deberta-v2
mental-health
deberta-v3
sentiment-analysis
healthcare
text-embeddings-inference
Instructions to use elishaw/deberta_mental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elishaw/deberta_mental with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="elishaw/deberta_mental")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("elishaw/deberta_mental") model = AutoModelForSequenceClassification.from_pretrained("elishaw/deberta_mental") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!