Token Classification
Transformers
PyTorch
English
deberta-v2
text-classification
deberta-v3-base
deberta-v3
deberta
emotion
Instructions to use akira225/deberta-v3-base-ECE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akira225/deberta-v3-base-ECE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="akira225/deberta-v3-base-ECE")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("akira225/deberta-v3-base-ECE") model = AutoModelForSequenceClassification.from_pretrained("akira225/deberta-v3-base-ECE", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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