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Fix finetune doc link bug #14

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Merged
heyufan1995 merged 1 commit into from
May 18, 2026
Merged

Fix finetune doc link bug #14

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4 changes: 2 additions & 2 deletions NV-Segment-CT/docs/README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@ cd NV-Segment-CTMR/NV-Segment-CT;
pip install -r requirements.txt;
```

Model weights are prepared automatically during inference. The first run downloads the checkpoint from Hugging Face into the local Hugging Face cache and links it at `models/model.pt`; later runs reuse the cached weights while still touching Hugging Face download stats for each inference.
Model weights are prepared automatically during inference. The first run downloads the checkpoint from Hugging Face into the local Hugging Face cache and links it at `models/model.pt`;

## 1.1 **NV-Segment-CT** [[Github]](https://github.com/NVIDIA-Medtech/NV-Segment-CTMR/tree/main/NV-Segment-CT) [[Huggingface]](https://huggingface.co/nvidia/NV-Segment-CT)

Expand Down Expand Up @@ -64,7 +64,7 @@ For more details, please refer to [this](inference.md).

## Continual learning / Finetuning

We provide predefined finetuning tutorial in [details](inference.md).
We provide predefined finetuning tutorial in [details](finetune.md).
For complicated finetuning, we suggest users to do vibe coding to generate finetuning pipelines by simply reuse the model and checkpoint

```python
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4 changes: 2 additions & 2 deletions NV-Segment-CTMR/docs/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,7 @@ cd NV-Segment-CTMR/NV-Segment-CTMR
pip install -r requirements.txt
```

Model weights are prepared automatically during inference. The first run downloads the checkpoint from Hugging Face into the local Hugging Face cache and links it at `models/model.pt`; later runs reuse the cached weights while still touching Hugging Face download stats for each inference.
Model weights are prepared automatically during inference. The first run downloads the checkpoint from Hugging Face into the local Hugging Face cache and links it at `models/model.pt`;

## Automatic Segmentation (support multi-gpu batch processing)

Expand Down Expand Up @@ -211,7 +211,7 @@ python -m monai.bundle run --config_file "['configs/inference.json', 'configs/in

## Continual learning / Finetuning

We provide predefined finetuning tutorial in [details](inference.md).
We provide predefined finetuning tutorial in [details](finetune.md).
For complicated finetuning, we suggest users to do vibe coding to generate finetuning pipelines by simply reuse the model and checkpoint

```python
Expand Down
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