COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Paper • 1906.05317 • Published
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("fzbuzz/COMET2019_ConceptNet", trust_remote_code=True, dtype="auto")YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
COMET2019 Model with author provided pretrained weights for ConceptNet.
All rights/licenses/credit belong to author Bosselut et al. (https://arxiv.org/abs/1906.05317)
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="fzbuzz/COMET2019_ConceptNet", trust_remote_code=True)