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-4000/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-4000/optimizer.pt
- Command line
-
hf download hf://nareshmlx/code-reviewer-opencv-checkpoints/checkpoint-4000/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/nareshmlx/code-reviewer-opencv-checkpoints/resolve/main/checkpoint-4000/optimizer.pt
148 MB
- Xet hash:
- c8411f6e7b0bad17d97d648bc7d75b84fbe7a28fd0b4945d48f094d1f9ff1606
- Size of remote file:
- 148 MB
- SHA256:
- c14a7f8ce4aadb7f8c452f67c52fa1a71c8810cad7bd4ef6af29e328785bcb02
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