Object Detection
Transformers
Safetensors
d_fine
fire
smoke
wildfire
dfine
fireviewer
Eval Results (legacy)
Instructions to use fireviewer/dfine-xlarge-fire-smoke with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fireviewer/dfine-xlarge-fire-smoke with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="fireviewer/dfine-xlarge-fire-smoke")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("fireviewer/dfine-xlarge-fire-smoke") model = AutoModelForObjectDetection.from_pretrained("fireviewer/dfine-xlarge-fire-smoke", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e595b2f56fddf33dd5ebd95eddc455b9489c7d6b120bf552031f6daca0cc08ec
- Size of remote file:
- 500 MB
- SHA256:
- b379971b63350be7a8c4bad2b5d4930b1343092d6fa4ed7d1d80ce2649b812ef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.