Instructions to use N8Programs/arc-tiny-transformer-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use N8Programs/arc-tiny-transformer-models with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("N8Programs/arc-tiny-transformer-models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "Qwen3ForCausalLM" | |
| ], | |
| "model_type": "qwen3", | |
| "vocab_size": 19, | |
| "hidden_size": 512, | |
| "num_hidden_layers": 16, | |
| "intermediate_size": 1536, | |
| "num_attention_heads": 4, | |
| "num_key_value_heads": 2, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "rms_norm_eps": 1e-06, | |
| "max_position_embeddings": 16384, | |
| "rope_theta": 1000000.0, | |
| "rope_scaling": null, | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "tie_word_embeddings": false, | |
| "use_cache": true, | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "pad_token_id": 0, | |
| "torch_dtype": "float32" | |
| } |