Instructions to use ShihHsuanChen/deberta-v3-emotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShihHsuanChen/deberta-v3-emotion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ShihHsuanChen/deberta-v3-emotion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ShihHsuanChen/deberta-v3-emotion") model = AutoModelForSequenceClassification.from_pretrained("ShihHsuanChen/deberta-v3-emotion", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 648708603fe2b8b6433ef94862076ae87c0ae4dca5b3d0a24b42b4043b7bdb21
- Size of remote file:
- 738 MB
- SHA256:
- be53921899723ea498ad2ececca0fddbc4e3a679147b7935903bf83ae645c7b9
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