Instructions to use mtzig/reverse_add_replicate_eval17_small_1layer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/reverse_add_replicate_eval17_small_1layer with Transformers:
# Load model directly from transformers import NanoGPT model = NanoGPT.from_pretrained("mtzig/reverse_add_replicate_eval17_small_1layer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 326 Bytes
b0bc01b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"architectures": [
"NanoGPT"
],
"bias": true,
"block_size": 256,
"dropout": 0.0,
"model_type": "nanogpt",
"n_embd": 8,
"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
}
|