Instructions to use calbors/DummyModelTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use calbors/DummyModelTest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="calbors/DummyModelTest", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("calbors/DummyModelTest", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99fdb340d40604a64bf12988d0c870b74556106c3f627e61fb1f1bb6346db353
- Size of remote file:
- 232 Bytes
- SHA256:
- bebf415bc71c24ea6e3c1d28695ec58ffe1742a58b371640c8b821a13ab1b396
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