Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use AceVikings/deberta-category with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AceVikings/deberta-category with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AceVikings/deberta-category")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AceVikings/deberta-category") model = AutoModelForSequenceClassification.from_pretrained("AceVikings/deberta-category", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16496e6cb55707660d5f3827fab7e7bd263c5494c644f42b01bb057049f807f6
- Size of remote file:
- 5.3 kB
- SHA256:
- b4ad0059db5d805f35159702c840088b0a9d32e00cf5a02b93a24420d43fc4f2
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