Instructions to use mtzig/reverse_add_replicate_eval30_dim10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval30_dim10 with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval30_dim10", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "NanoGPT" | |
| ], | |
| "bias": true, | |
| "block_size": 256, | |
| "dropout": 0.0, | |
| "mlp_dim": 4, | |
| "model_type": "nanogpt", | |
| "n_embd": 10, | |
| "n_head": 1, | |
| "n_layer": 1, | |
| "nonlinearity": "RELU", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.46.0", | |
| "use_NoPE": true, | |
| "use_layernorm": true, | |
| "vocab_size": 14 | |
| } | |