Instructions to use Xikun/greaselm-obqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xikun/greaselm-obqa with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMultipleChoice model = AutoModelForMultipleChoice.from_pretrained("Xikun/greaselm-obqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 247 Bytes
c102550 | 1 2 3 4 5 6 7 8 9 | {
"cpnet_vocab_path": "concept.txt",
"pattern_path": "matcher_patterns.json",
"pruned_graph_path": "conceptnet_en_pruned.pickle.gz",
"score_model": "roberta-large",
"feature_extractor_type": "GreaseLMFeatureExtractor",
"max_node_num": 200
}
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