Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use AceVikings/deberta-cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AceVikings/deberta-cat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AceVikings/deberta-cat")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AceVikings/deberta-cat") model = AutoModelForSequenceClassification.from_pretrained("AceVikings/deberta-cat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b493d5e2cd2604562aa9a75930d4b2f1f915d377916188c6ccb11bffaffe759
- Size of remote file:
- 5.3 kB
- SHA256:
- 647c4ccf2c18fa7c28a7c17552d5e03f43b92c1bb160331897442cd7b7ae09f0
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