Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use AceVikings/deberta-misconception with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AceVikings/deberta-misconception with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AceVikings/deberta-misconception")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AceVikings/deberta-misconception") model = AutoModelForSequenceClassification.from_pretrained("AceVikings/deberta-misconception", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8aa4d5414014ce10a1d9f5ff1ffa09af6297d72a17a95471c3494edc62a2eb70
- Size of remote file:
- 5.3 kB
- SHA256:
- 235b553f8aff83184d6420a02f273da7b11b7757f5fbdbc144d2ba568fdf9441
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