Instructions to use claudios/plbart-c-cpp-defect-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/plbart-c-cpp-defect-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="claudios/plbart-c-cpp-defect-detection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("claudios/plbart-c-cpp-defect-detection") model = AutoModel.from_pretrained("claudios/plbart-c-cpp-defect-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from claudios/plbart-c-cpp-defect-detection: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/claudios/plbart-c-cpp-defect-detection/resolve/main/model.safetensors
- Command line
-
hf download hf://claudios/plbart-c-cpp-defect-detection/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/claudios/plbart-c-cpp-defect-detection/resolve/main/model.safetensors
557 MB
- Xet hash:
- 6889493c4a6dc23e29abcda1ca445c64911d64a0158edd41f273813be239f90b
- Size of remote file:
- 557 MB
- SHA256:
- bd1f60eabd498173202c99d8b5858167e7726ebcb47b88b0a89a55e4d1b98ea6
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