Instructions to use copper-light/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use copper-light/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="copper-light/test-model", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("copper-light/test-model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 285 Bytes
fc0237e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"architectures": [
"TestModel"
],
"auto_map": {
"AutoConfig": "model.TestConfig",
"AutoModel": "model.TestModel"
},
"input_dim": 4,
"model_type": "test-model",
"output_dim": 16,
"torch_dtype": "float32",
"transformers_version": "4.54.1"
}
|