Instructions to use CodeIsAbstract/HybridModelScratch_ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridModelScratch_ with Transformers:
# Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch_", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 528 Bytes
94a0c6b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
"architectures": [
"HybridFourierLM"
],
"bos_token_id": 0,
"dropout": 0.05,
"dtype": "float32",
"eos_token_id": 0,
"latent_dim": 768,
"layer_types": [
"linear",
"linear",
"linear",
"softmax",
"linear",
"linear",
"linear",
"softmax",
"linear",
"linear",
"linear",
"softmax"
],
"model_type": "hybrid_fourier_lm",
"num_layers": 12,
"num_modes": 64,
"pad_token_id": 0,
"time_scale": 128.0,
"transformers_version": "4.56.0",
"vocab_size": 50277
}
|