Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use AceVikings/deberta-misconception-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AceVikings/deberta-misconception-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AceVikings/deberta-misconception-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AceVikings/deberta-misconception-classifier") model = AutoModelForSequenceClassification.from_pretrained("AceVikings/deberta-misconception-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 83f9e450724d974bb98e2701fe3a659ed498b197d69c5ebfac8aeb93c6dffea3
- Size of remote file:
- 5.37 kB
- SHA256:
- a54d0ef4aa22d472ef5156c113a760247a339d8f6d422398baa15d403fb62d24
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