Transformers
grt
geometric-rotation-transformer
tokenizer
polar-embedding
phase-angle-embedding
rotational-transformer
qwen3
matterwave
Instructions to use MatterWaveAI/grt-30m-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatterWaveAI/grt-30m-tokenizer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MatterWaveAI/grt-30m-tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 308 Bytes
78b5a99 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"model_type": "grt",
"vocab_size": 151669,
"hidden_size": 256,
"n_pairs": 128,
"bos_token_id": 151643,
"eos_token_id": 151643,
"pad_token_id": 151643,
"output_scale_init": 30.0,
"polar_embedding_parameters": 19565302,
"polar_embedding_file": "polar_embedding.safetensors"
}
|