Instructions to use saneowl/tiny-tiny-tiny-llama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saneowl/tiny-tiny-tiny-llama with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("saneowl/tiny-tiny-tiny-llama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from saneowl/tiny-tiny-tiny-llama: direct link, hf CLI and curl.
- Browser
- Download file 196 Bytes
-
https://huggingface.co/saneowl/tiny-tiny-tiny-llama/resolve/main/config.json
- Command line
-
hf download hf://saneowl/tiny-tiny-tiny-llama/config.json
-
curl -L -o config.json https://huggingface.co/saneowl/tiny-tiny-tiny-llama/resolve/main/config.json
196 Bytes
| { | |
| "model_type": "tiny-10-param-classifier", | |
| "vocab": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "param_count": 10, | |
| "note": "Tiny model mapping any text to A/B/C/D via a 10-parameter MLP." | |
| } |