Graph Machine Learning
Transformers
Safetensors
graphs_gpt_conditioned
text-generation
biology
medical
chemistry
Instructions to use DaizeDong/GraphsGPT-1W-C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaizeDong/GraphsGPT-1W-C with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("DaizeDong/GraphsGPT-1W-C", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "D:\\dzdon\\Desktop\\ckpts\\GraphsGPT-1W-C", | |
| "adaptive_position_length": false, | |
| "architectures": [ | |
| "GraphsGPTForConditionalGeneration" | |
| ], | |
| "atom_vocab_size": 118, | |
| "bond_vocab_size": 92, | |
| "connection_loss_type": "contrastive", | |
| "connection_loss_weight": 1.0, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "silu", | |
| "hidden_size": 512, | |
| "initializer_method": "hidden", | |
| "initializer_range": 0.02, | |
| "intermediate_size": 2048, | |
| "model_type": "graphs_gpt_conditioned", | |
| "node_loss_weight": 1.0, | |
| "num_attention_heads": 8, | |
| "num_fingerprints": 1, | |
| "num_hidden_layers": 8, | |
| "num_properties": 3, | |
| "pad_token_id": 0, | |
| "position_feature_size": 128, | |
| "rms_norm_eps": 1e-06, | |
| "share_embeddings": false, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.1" | |
| } | |