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 tokenizer.json from MatterWaveAI/grt-30m-image: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/MatterWaveAI/grt-30m-image/resolve/main/tokenizer.json
- Command line
-
hf download hf://MatterWaveAI/grt-30m-image/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MatterWaveAI/grt-30m-image/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 79629a43f1bf1d211e2875a4cbed90d90214cf01f7ef21e45ecf0a4bb19d5d61
- Size of remote file:
- 11.4 MB
- SHA256:
- 3630772ed48d0abda7345bfa89cf3fa00bc54486e3a78971c705b93d5b5fdf25
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