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: 679 Bytes
a4ba82a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | import hashlib
import json
import sys
from .config import VENDOR
def initialize():
manifest = json.loads((VENDOR / 'MANIFEST.json').read_text())
for relative, expected in manifest.items():
path = VENDOR / relative
if not path.resolve().is_relative_to(VENDOR.resolve()):
raise RuntimeError('Invalid runtime manifest path')
if hashlib.sha256(path.read_bytes()).hexdigest() != expected:
raise RuntimeError(f'Production code changed: {relative}')
for path in [VENDOR, VENDOR / 'support', VENDOR / 'production_adapter']:
sys.path.insert(0, str(path))
import adapter
return adapter
production = initialize()
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