How to use selfconstruct3d/AttackGroup-MPNET with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="selfconstruct3d/AttackGroup-MPNET")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("selfconstruct3d/AttackGroup-MPNET") model = AutoModel.from_pretrained("selfconstruct3d/AttackGroup-MPNET", device_map="auto")
https://huggingface.co/selfconstruct3d/AttackGroup-MPNET/resolve/ad3695bf346fa22e22b2a131e7272407b5878e51/tokenizer.json
hf download hf://selfconstruct3d/AttackGroup-MPNET@ad3695bf346fa22e22b2a131e7272407b5878e51/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/selfconstruct3d/AttackGroup-MPNET/resolve/ad3695bf346fa22e22b2a131e7272407b5878e51/tokenizer.json
