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
Commit History
6 days ago
-
Add Flora inference examples (#1)
Omar L- Add Flora inference examples (114a1076f70eb53f4a58ac045505db3087e79347) - Add Flora inference examples (6a7a6298df801d651ee7c72ce0d64bfcfdf7170a)a4ba82a
9 days ago
-
Stage final Flora-TempSeg weights
Omar LVerified signatureSource: flora-share/Flora-TempSeg-Release@fc92075dc0b6b2e73d4f48f55a6fc1c034e8ed16143ed82
20 days ago
-
Pin TempSeg base model identity
Omar LVerified signatureUse Qwen/Qwen3.5-9B at c202236235762e1c871ad0ccb60c8ee5ba337b9a; retain adapter weights.b2d4169
21 days ago
-
Import Flora-TempSeg checkpoint
Omar LVerified signatureSource: flora-share/Flora-TempSeg@dd438c3422f3639856669788d69595476959ddae1d74d27