Instructions to use NoiseToNova/MiniMax-H3-PDD-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
- Kaggle
Download data/train.json from NoiseToNova/MiniMax-H3-PDD-LoRA: direct link, hf CLI and curl.
- Browser
- Download file 270 MB
-
https://huggingface.co/NoiseToNova/MiniMax-H3-PDD-LoRA/resolve/main/data/train.json
- Command line
-
hf download hf://NoiseToNova/MiniMax-H3-PDD-LoRA/data/train.json
-
curl -L -o train.json https://huggingface.co/NoiseToNova/MiniMax-H3-PDD-LoRA/resolve/main/data/train.json
270 MB
- Xet hash:
- ff05e350f83d28014537f04ddc77189abf9c9f910673952a7395da495b60bd34
- Size of remote file:
- 270 MB
- SHA256:
- 42c81b52f3c663a1c808c2609070fb461e8b3ca14370cdba1ab8441859617b20
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