Instructions to use WENGSYX/CoNN_Parity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WENGSYX/CoNN_Parity with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WENGSYX/CoNN_Parity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "pad_token_id": 3, | |
| "transformers_version": "4.26.1", | |
| "vocab_size": 4, | |
| "hidden_size": 132, | |
| "num_hidden_layers": 4, | |
| "num_attention_heads": 1, | |
| "hidden_act": "relu", | |
| "intermediate_size": 42, | |
| "hidden_dropout_prob": 0.0, | |
| "attention_probs_dropout_prob": 0.0, | |
| "max_position_embeddings": 41, | |
| "initializer_range": 0.02, | |
| "layer_norm": false, | |
| "layer_norm_eps": 0.02, | |
| "mlp_hidden_size": 1959, | |
| "input_encoding_map": { | |
| "0": 0, | |
| "1": 1, | |
| "bos": 2, | |
| "pad": 3 | |
| }, | |
| "output_encoding_map": { | |
| "0": 0, | |
| "1": 1 | |
| }, | |
| "model_type": "conn" | |
| } | |