Instructions to use nvidia/Flora-TempSeg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nvidia/Flora-TempSeg with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "nvidia/Flora-TempSeg") - Notebooks
- Google Colab
- Kaggle
Add Flora inference examples
Adds the TempSeg-to-Captioner inference examples from flora-share/Flora-TempSeg-Release-Infer@f495c8c709c72ca1fa39a71c02436834a4f6aebf. Binds the examples to immutable NVIDIA revisions with corrected model-card checksums. This PR and the corresponding nvidia/Flora-Captioner PR are a paired update.
The existing model card, weights, provenance, licenses, configuration, and templates are preserved. Only the model-card checksum entry changes among existing files. Static syntax, code-manifest, vendor-manifest, and model-asset identity checks passed; CUDA inference was not run. Keep the referenced PR commits available; if the merge strategy does not retain them, update both revision pins before deleting the PR refs.