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
Download batch_utils/requirements.txt from nvidia/Flora-TempSeg: direct link, hf CLI and curl.
- Browser
- Download file 163 Bytes
-
https://huggingface.co/nvidia/Flora-TempSeg/resolve/main/batch_utils/requirements.txt
- Command line
-
hf download hf://nvidia/Flora-TempSeg/batch_utils/requirements.txt
-
curl -L -o requirements.txt https://huggingface.co/nvidia/Flora-TempSeg/resolve/main/batch_utils/requirements.txt
163 Bytes
| torch==2.11.0 | |
| torchvision==0.26.0 | |
| huggingface_hub==1.33.0 | |
| transformers==5.8.1 | |
| peft==0.18.1 | |
| accelerate==1.12.0 | |
| safetensors==0.7.0 | |
| av==16.0.1 | |
| numpy<3 | |
| Pillow>=11,<13 | |