Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use AceVikings/deberta-misconception-classifier-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AceVikings/deberta-misconception-classifier-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AceVikings/deberta-misconception-classifier-final")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AceVikings/deberta-misconception-classifier-final") model = AutoModelForSequenceClassification.from_pretrained("AceVikings/deberta-misconception-classifier-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d4c9ba8542e2765567d27793238624d6508729712157bd6afaa74cdadadfcf3
- Size of remote file:
- 5.37 kB
- SHA256:
- 1b3819435686a07a545483ee1b2719e7da9e9ab2328c8f209fad73a489502ec0
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