How to use Efficient-Large-Model/WORL-NVRM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Efficient-Large-Model/WORL-NVRM")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Efficient-Large-Model/WORL-NVRM") model = AutoModel.from_pretrained("Efficient-Large-Model/WORL-NVRM", device_map="auto")
https://huggingface.co/Efficient-Large-Model/WORL-NVRM/resolve/main/vocab.json
hf download hf://Efficient-Large-Model/WORL-NVRM/vocab.json
curl -L -o vocab.json https://huggingface.co/Efficient-Large-Model/WORL-NVRM/resolve/main/vocab.json
