Instructions to use Xikun/greaselm-csqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Xikun/greaselm-csqa with Transformers:
# Load model directly from transformers import AutoModelForMultipleChoice model = AutoModelForMultipleChoice.from_pretrained("Xikun/greaselm-csqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "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 | |
| } |