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/models.json from nvidia/Flora-TempSeg: direct link, hf CLI and curl.
- Browser
- Download file 612 Bytes
-
https://huggingface.co/nvidia/Flora-TempSeg/resolve/refs%2Fpr%2F4/batch_utils/models.json
- Command line
-
hf download hf://nvidia/Flora-TempSeg@refs/pr/4/batch_utils/models.json
-
curl -L -o models.json https://huggingface.co/nvidia/Flora-TempSeg/resolve/refs%2Fpr%2F4/batch_utils/models.json
612 Bytes
| { | |
| "tempseg": { | |
| "repo": "nvidia/Flora-TempSeg", | |
| "revision": "114a1076f70eb53f4a58ac045505db3087e79347", | |
| "sha256": "1d80fe544e4cd1a7ff6b0ea4be71e988972408dab81d4c8af72e3a628739d6c3", | |
| "repo_env": "FLORA_TEMPSEG_REPO" | |
| }, | |
| "captioner": { | |
| "repo": "nvidia/Flora-Captioner", | |
| "revision": "fef0bbfe11829ca7f3539d58da7a6a2c2f109dc6", | |
| "source_manifest_identity": "2ab6cafd286df7f446bfb84fbc4af7c54773d5e890dd277ac5a0453d0d4fb778", | |
| "repo_env": "FLORA_CAPTIONER_REPO" | |
| }, | |
| "tempseg_base": { | |
| "repo": "Qwen/Qwen3.5-9B", | |
| "revision": "c202236235762e1c871ad0ccb60c8ee5ba337b9a" | |
| } | |
| } | |