Instructions to use Blueccc/furniture_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Blueccc/furniture_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="Blueccc/furniture_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("Blueccc/furniture_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("Blueccc/furniture_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
aed7045 -
Training in progress, step 5600
8ef56b6 -
Training in progress, step 5400
f5bd72a -
Training in progress, step 5200
5107cb9 -
Training in progress, step 5000
0971b54 -
Training in progress, step 4800
37ddbb3 -
Training in progress, step 4600
d54ca63 -
Training in progress, step 4400
773a263 -
Training in progress, step 4200
7ea4951 -
Training in progress, step 4000
87c63fa -
Training in progress, step 3800
59b675d -
Training in progress, step 3600
74855e2 -
Training in progress, step 3400
9a543fb -
Training in progress, step 3200
de10072 -
Training in progress, step 3000
28c4873 -
Training in progress, step 2800
a3e0dd2 -
Training in progress, step 2600
6a1a70d -
Training in progress, step 2400
bec43ba -
Training in progress, step 2200
c9bd19d -
Training in progress, step 2000
f552067 -
Training in progress, step 1800
154c6aa -
Training in progress, step 1600
edbe83b -
Training in progress, step 1400
bd5c623 -
Training in progress, step 1200
6fb35af -
Training in progress, step 1000
e62015d -
Training in progress, step 800
80c8dff -
Training in progress, step 600
07237e3 -
Training in progress, step 400
6c5dccb -
Training in progress, step 200
12897c0 -
initial commit
41d7217