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 SOURCE_MANIFEST.sha256 from nvidia/Flora-TempSeg: direct link, hf CLI and curl.
- Browser
- Download file 685 Bytes
-
https://huggingface.co/nvidia/Flora-TempSeg/resolve/main/SOURCE_MANIFEST.sha256
- Command line
-
hf download hf://nvidia/Flora-TempSeg/SOURCE_MANIFEST.sha256
-
curl -L -o SOURCE_MANIFEST.sha256 https://huggingface.co/nvidia/Flora-TempSeg/resolve/main/SOURCE_MANIFEST.sha256
685 Bytes
| 837c0aa8748126d2193799e7bec51d6550ca4ba07767591e66dcb370c3115e44 MODEL_PROVENANCE.json | |
| 88cb6731fc521a0404faed7c5045c3db77185341849bc4e0b6e60be3443f7d6c README.md | |
| ac4d8abd2a14045b22151354a7493049d651ec10c0b019fbe4927805e45c4b81 adapter_config.json | |
| 1d80fe544e4cd1a7ff6b0ea4be71e988972408dab81d4c8af72e3a628739d6c3 adapter_model.safetensors | |
| d28ca68768ac2ce0ad42eaaf54d5bac4f8a298f7d017f5a04f3866094c65a839 chat_template.jinja | |
| efcc4bbf42f0e1c98d1804dc6484590d2ac3d1ad2575f67b4a59b5706ea8fa86 processor_config.json | |
| 06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523 tokenizer.json | |
| b4c4e0a37983a58c329c8c4e25d59f3305fd344815f4ecb8c66a99323a254cf8 tokenizer_config.json | |