Instructions to use Winmodel/custom-gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Winmodel/custom-gpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Winmodel/custom-gpt", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Winmodel/custom-gpt", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 329 Bytes
ed5db8f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"architectures": [
"GPT"
],
"auto_map": {
"AutoConfig": "hf_configuration.ExGPTConfig",
"AutoModel": "hf_modeling.GPT"
},
"block_size": 1024,
"model_type": "ExGPT",
"n_embd": 768,
"n_head": 12,
"n_layer": 12,
"torch_dtype": "float32",
"transformers_version": "4.48.3",
"vocab_size": 50304
}
|