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