Text Classification
Transformers
Safetensors
English
deberta-v2
deberta
sequence-classification
medicine
telerehabilitation
MeDeBERTa
MeDeBERTaBot
Instructions to use malakhovks/MeDeBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malakhovks/MeDeBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="malakhovks/MeDeBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("malakhovks/MeDeBERTa") model = AutoModelForSequenceClassification.from_pretrained("malakhovks/MeDeBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # Changelog | |
| ## v2 – 2025-07-18 | |
| * Added 20-epoch fine-tuned checkpoint | |
| * Test accuracy ↑ 0.9986, macro F1 ↑ 0.9987 | |
| * Refreshed tokenizer, model card, metrics | |
| ## v1 – 2024-11-10 | |
| * Initial public release | |