Instructions to use tdooms/tiny-single with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tdooms/tiny-single with Transformers:
# Load model directly from transformers import Transformer model = Transformer.from_pretrained("tdooms/tiny-single", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "Transformer" | |
| ], | |
| "bias": true, | |
| "d_hidden": 2048, | |
| "d_model": 512, | |
| "mask": "causal", | |
| "n_ctx": 256, | |
| "n_head": 8, | |
| "n_layer": 1, | |
| "norm": true, | |
| "tokenizer": "tiny", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.51.1" | |
| } | |