Instructions to use Sakalti/Custom-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sakalti/Custom-3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sakalti/Custom-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "CustomQwen2Model" | |
| ], | |
| "hidden_size": 768, | |
| "intermediate_size": 3072, | |
| "max_position_embeddings": 96, | |
| "model_type": "custom_qwen2", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 20, | |
| "qkv_bias": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.47.1", | |
| "vocab_size": 151936 | |
| } | |