Text-to-Image
Transformers
Safetensors
grt_image
text-generation
grt
grt-image
vision
rotational-transformer
givens-rotations
sophia-torus
matterwave
Instructions to use MatterWaveAI/grt-30m-image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatterWaveAI/grt-30m-image with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("MatterWaveAI/grt-30m-image", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Release MatterWaveAI/grt-30m-image (GRTImageForConditionalGeneration + 8-way geometric optimizer ablation)
12b3841 verified Download generation_config.json from MatterWaveAI/grt-30m-image: direct link, hf CLI and curl.
- Browser
- Download file 202 Bytes
-
https://huggingface.co/MatterWaveAI/grt-30m-image/resolve/main/generation_config.json
- Command line
-
hf download hf://MatterWaveAI/grt-30m-image/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/MatterWaveAI/grt-30m-image/resolve/main/generation_config.json
202 Bytes
| { | |
| "bos_token_id": 151643, | |
| "do_sample": false, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "max_new_tokens": 128, | |
| "pad_token_id": 151643, | |
| "transformers_version": "5.21.0.dev0" | |
| } | |