Instructions to use Javiai/3dprintfails-yolo5vs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Javiai/3dprintfails-yolo5vs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Javiai/3dprintfails-yolo5vs")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Javiai/3dprintfails-yolo5vs", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md (#1)
Browse files- Update README.md (acdc1f4ec112d8794579075d211c4606906a6ca3)
Co-authored-by: Art Koci <akoci@users.noreply.huggingface.co>
README.md
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@@ -24,7 +24,7 @@ from huggingface_hub import hf_hub_download
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import torch
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repo_id = "Javiai/3dprintfails-yolo5vs"
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-
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model_path = hf_hub_download(repo_id=repo_id, filename=filename)
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```
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import torch
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repo_id = "Javiai/3dprintfails-yolo5vs"
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filename = "model_torch.pt"
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model_path = hf_hub_download(repo_id=repo_id, filename=filename)
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```
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