Instructions to use Maynx/REX_v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maynx/REX_v0.1 with Transformers:
# Load model directly from transformers import REX model = REX.from_pretrained("Maynx/REX_v0.1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "REX" | |
| ], | |
| "bos_token_id": 1, | |
| "dropout": 0.1, | |
| "dtype": "float32", | |
| "eos_token_id": 2, | |
| "max_len": 1024, | |
| "model_type": "REX", | |
| "n_embd": 768, | |
| "n_heads": 12, | |
| "n_kv_heads": 4, | |
| "n_layers": 12, | |
| "pad_token_id": 0, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.53.2", | |
| "vocab_size": 32768 | |
| } | |