Instructions to use prithivMLmods/gemma-4-E2B-it-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/gemma-4-E2B-it-FP8 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("prithivMLmods/gemma-4-E2B-it-FP8") model = AutoModelForMultimodalLM.from_pretrained("prithivMLmods/gemma-4-E2B-it-FP8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from prithivMLmods/gemma-4-E2B-it-FP8: direct link, hf CLI and curl.
- Browser
- Download file 203 Bytes
-
https://huggingface.co/prithivMLmods/gemma-4-E2B-it-FP8/resolve/main/generation_config.json
- Command line
-
hf download hf://prithivMLmods/gemma-4-E2B-it-FP8/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/prithivMLmods/gemma-4-E2B-it-FP8/resolve/main/generation_config.json
203 Bytes
| { | |
| "bos_token_id": 2, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 1, | |
| 106, | |
| 50 | |
| ], | |
| "pad_token_id": 0, | |
| "temperature": 1.0, | |
| "top_k": 64, | |
| "top_p": 0.95, | |
| "transformers_version": "5.5.0" | |
| } | |