How to use PDG/gpt2_for_crime_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PDG/gpt2_for_crime_classification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PDG/gpt2_for_crime_classification") model = AutoModelForSequenceClassification.from_pretrained("PDG/gpt2_for_crime_classification", device_map="auto")
https://huggingface.co/PDG/gpt2_for_crime_classification/resolve/main/tokenizer.json
hf download hf://PDG/gpt2_for_crime_classification/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/PDG/gpt2_for_crime_classification/resolve/main/tokenizer.json
