Text Classification
Transformers
Safetensors
English
deberta-v2
digital-humanities
historical-text
ai-text-detection
deberta-v3
chronologic
Eval Results (legacy)
text-embeddings-inference
Instructions to use chronologic/chronologic-authenticity-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chronologic/chronologic-authenticity-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chronologic/chronologic-authenticity-deberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chronologic/chronologic-authenticity-deberta") model = AutoModelForSequenceClassification.from_pretrained("chronologic/chronologic-authenticity-deberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 745 Bytes
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