Instructions to use calbors/DummyModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use calbors/DummyModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="calbors/DummyModel", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("calbors/DummyModel", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 228 Bytes
12ec255 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"architectures": [
"Model"
],
"auto_map": {
"AutoConfig": "huggingface.Config",
"AutoModel": "huggingface.Model"
},
"model_type": "dummy",
"torch_dtype": "float32",
"transformers_version": "4.51.3"
}
|