Token Classification
Transformers
Safetensors
English
Chinese
deberta-v2
aspect-based-sentiment-analysis
sentiment-analysis
sequence-labeling
deberta
Instructions to use yangheng/deberta-v3-base-end2end-absa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yangheng/deberta-v3-base-end2end-absa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yangheng/deberta-v3-base-end2end-absa")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yangheng/deberta-v3-base-end2end-absa") model = AutoModelForTokenClassification.from_pretrained("yangheng/deberta-v3-base-end2end-absa") - Notebooks
- Google Colab
- Kaggle
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