Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use mljn/mdeberta-economy-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mljn/mdeberta-economy-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mljn/mdeberta-economy-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mljn/mdeberta-economy-classifier") model = AutoModelForSequenceClassification.from_pretrained("mljn/mdeberta-economy-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d8accf5960b25cc001628f85ade1441082241c9abfe12fee1af12fe9a42a4d8
- Size of remote file:
- 16 MB
- SHA256:
- 696c2ec3282e2faf1dd6ff930d74b45daef506c044309e9ac185cc522d6acda1
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