Instructions to use shibatch/tinygemma4text3m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shibatch/tinygemma4text3m with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shibatch/tinygemma4text3m", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 1, | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 2, | |
| "transformers_version": "5.9.0", | |
| "use_cache": true | |
| } | |