Transformers
Safetensors
Italian
tiny-gpt
DAC
data-ai
DATA-AI
transformer
experimental
8-bit precision
Instructions to use Mattimax/PicoDAC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mattimax/PicoDAC with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mattimax/PicoDAC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from Mattimax/PicoDAC: direct link, hf CLI and curl.
- Browser
- Download file 572 Bytes
-
https://huggingface.co/Mattimax/PicoDAC/resolve/main/config.json
- Command line
-
hf download hf://Mattimax/PicoDAC/config.json
-
curl -L -o config.json https://huggingface.co/Mattimax/PicoDAC/resolve/main/config.json
572 Bytes
| { | |
| "model_type": "tiny-gpt", | |
| "vocab_size": 1920, | |
| "n_layers": 6, | |
| "n_heads": 6, | |
| "d_model": 240, | |
| "d_ff": 960, | |
| "n_ctx": 64, | |
| "dropout": 0.0, | |
| "tie_word_embeddings": true, | |
| "special_tokens": { | |
| "pad_token": "<PAD>", | |
| "bos_token": "<BOS>", | |
| "eos_token": "<EOS>", | |
| "sep_token": "<SEP>", | |
| "unk_token": "<UNK>", | |
| "ids": { | |
| "pad": 0, | |
| "bos": 1, | |
| "eos": 2, | |
| "sep": 3, | |
| "unk": 4 | |
| } | |
| }, | |
| "quantization": { | |
| "default": "int8", | |
| "embedding_bits": 18, | |
| "layernorm_bits": 24, | |
| "format": "safetensors+scales" | |
| } | |
| } |