Instructions to use nareshmlx/code-reviewer-opencv-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nareshmlx/code-reviewer-opencv-checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nareshmlx/code-reviewer-opencv-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download checkpoint-5346/optimizer.pt from nareshmlx/code-reviewer-opencv-checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 148 MB
-
https://huggingface.co/nareshmlx/code-reviewer-opencv-checkpoints/resolve/main/checkpoint-5346/optimizer.pt
- Command line
-
hf download hf://nareshmlx/code-reviewer-opencv-checkpoints/checkpoint-5346/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/nareshmlx/code-reviewer-opencv-checkpoints/resolve/main/checkpoint-5346/optimizer.pt
148 MB
- Xet hash:
- 06c45ada4299d78ddcb33a1cb0731c829a4557249155ef30e18494658ee360f5
- Size of remote file:
- 148 MB
- SHA256:
- db24975abc51860e057f092a16fe4a29b54b4f2a6c07f33f25a219d4e47ee486
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