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