Instructions to use xcczach/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xcczach/test-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="xcczach/test-model", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("xcczach/test-model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b440956a6eada3403924c69f9e627b06bd39e2ef9140ba8b0308e20a9aae037
- Size of remote file:
- 44.9 MB
- SHA256:
- c636fd32fccd184fcfaf1c852070f2144848824682ae2048a02e0658ce545a24
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