How to use privacy-tech-lab/LngDistilledModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="privacy-tech-lab/LngDistilledModel")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("privacy-tech-lab/LngDistilledModel") model = AutoModelForSequenceClassification.from_pretrained("privacy-tech-lab/LngDistilledModel", device_map="auto")
https://huggingface.co/privacy-tech-lab/LngDistilledModel/resolve/refs%2Fpr%2F1/tokenizer.json
hf download hf://privacy-tech-lab/LngDistilledModel@refs/pr/1/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/privacy-tech-lab/LngDistilledModel/resolve/refs%2Fpr%2F1/tokenizer.json
