Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use lopentu/IDEA-CCNL-Erlangshen-DeBERTa-v2-97M-Chinese-DottedWSD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lopentu/IDEA-CCNL-Erlangshen-DeBERTa-v2-97M-Chinese-DottedWSD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lopentu/IDEA-CCNL-Erlangshen-DeBERTa-v2-97M-Chinese-DottedWSD")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lopentu/IDEA-CCNL-Erlangshen-DeBERTa-v2-97M-Chinese-DottedWSD") model = AutoModelForSequenceClassification.from_pretrained("lopentu/IDEA-CCNL-Erlangshen-DeBERTa-v2-97M-Chinese-DottedWSD") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 20fdba016926ed6bf96e78e23c71a3f49d8ce42936cb3803c09737e5b6ca52a1
- Size of remote file:
- 5.5 kB
- SHA256:
- 3e29d0c9fe93ea1cbe6da8a1d5f5297214df66866475951cdcba8f47d2201b56
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