Instructions to use yushengsu/coke-bert-base-uncased-2hop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yushengsu/coke-bert-base-uncased-2hop with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yushengsu/coke-bert-base-uncased-2hop", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "attention_probs_dropout_prob": 0.1, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "max_position_embeddings": 512, | |
| "num_attention_heads": 12, | |
| "num_attention_heads_ent": 4, | |
| "num_hidden_layers": 12, | |
| "type_vocab_size": 2, | |
| "vocab_size": 30522, | |
| "K_V_dim": 100, | |
| "neighbor_hop": 2, | |
| "Q_dim": 768, | |
| "graphsage": false, | |
| "self_att": true, | |
| "layer_types": ["text_enc", "text_enc", "text_enc", "text_enc", "text_enc", "knowledge_enc", "knowledge_fusion", "knowledge_fusion", "knowledge_fusion", "knowledge_fusion", "knowledge_fusion", "knowledge_fusion"] | |
| } | |