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
File size: 1,497 Bytes
78a0e4a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | # Third-party notices
The inference scripts use the packages below, installed separately by the setup commands. These packages are not bundled in this repository. The requirements match [requirements.txt](requirements.txt).
The links identify upstream project licenses. Installed distributions and their dependencies retain their own licenses and notices. For version ranges, consult the license files supplied with the installed version.
| Requirement | Upstream license |
| --- | --- |
| `torch==2.11.0` | [BSD-3-Clause](https://github.com/pytorch/pytorch/blob/v2.11.0/LICENSE) |
| `torchvision==0.26.0` | [BSD-3-Clause](https://github.com/pytorch/vision/blob/v0.26.0/LICENSE) |
| `huggingface_hub==1.33.0` | [Apache-2.0](https://github.com/huggingface/huggingface_hub/blob/v1.33.0/LICENSE) |
| `transformers==5.8.1` | [Apache-2.0](https://github.com/huggingface/transformers/blob/v5.8.1/LICENSE) |
| `peft==0.18.1` | [Apache-2.0](https://github.com/huggingface/peft/blob/v0.18.1/LICENSE) |
| `accelerate==1.12.0` | [Apache-2.0](https://github.com/huggingface/accelerate/blob/v1.12.0/LICENSE) |
| `safetensors==0.7.0` | [Apache-2.0](https://github.com/huggingface/safetensors/blob/v0.7.0/LICENSE) |
| `av==16.0.1` | [BSD-3-Clause](https://github.com/PyAV-Org/PyAV/blob/v16.0.1/LICENSE.txt) |
| `numpy<3` | [BSD-3-Clause](https://github.com/numpy/numpy/blob/main/LICENSE.txt) |
| `Pillow>=11,<13` | [PIL Software License (MIT-CMU)](https://github.com/python-pillow/Pillow/blob/main/LICENSE) |
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