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")
https://huggingface.co/chronologic/chronologic-authenticity-deberta/resolve/main/learning_curve.png
hf download hf://chronologic/chronologic-authenticity-deberta/learning_curve.png
curl -L -o learning_curve.png https://huggingface.co/chronologic/chronologic-authenticity-deberta/resolve/main/learning_curve.png
