Text Classification
Transformers
PyTorch
Safetensors
deberta-v2
multilingual-sentiment-analysis
sentiment-analysis
aspect-based-sentiment-analysis
deberta
pyabsa
efficient
lightweight
production-ready
no-llm
Instructions to use yangheng/deberta-v3-base-absa-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yangheng/deberta-v3-base-absa-v1.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yangheng/deberta-v3-base-absa-v1.1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yangheng/deberta-v3-base-absa-v1.1") model = AutoModelForSequenceClassification.from_pretrained("yangheng/deberta-v3-base-absa-v1.1") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
522e043
1
Parent(s): 6f75d1d
Adding `safetensors` variant of this model (#4)
Browse files- Adding `safetensors` variant of this model (d36a6ddb946b5fdcfd741130011d170c1189f5c2)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
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