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")# pip install -U transformers accelerate # 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
Commit History
-
v2: new checkpoint + updated metrics + changelog
| Date (UTC) | Version | Notes | | ---------- | ------- | ------------------------------------------------- | | 2025-07-18 | **v2** | new checkpoint ➜ test acc 0.9986, macro F1 0.9987 |71a0d82