Instructions to use se0kcess/cppe5_use_data_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use se0kcess/cppe5_use_data_finetuning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="se0kcess/cppe5_use_data_finetuning")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForObjectDetection processor = AutoImageProcessor.from_pretrained("se0kcess/cppe5_use_data_finetuning") model = AutoModelForObjectDetection.from_pretrained("se0kcess/cppe5_use_data_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 2200
a700ea3 -
Training in progress, step 2000
2405789 -
Training in progress, step 1800
d231b18 -
Training in progress, step 1600
1be2360 -
Training in progress, step 1400
81e0466 -
Training in progress, step 1200
c0a53a0 -
Training in progress, step 1000
eec0987 -
Training in progress, step 800
b7e7c92 -
Training in progress, step 600
6f87011 -
Training in progress, step 400
df4d6c5 -
Training in progress, step 200
7ac5e36 -
Training in progress, step 800
7ceae97 -
Training in progress, step 600
b4daf19 -
Training in progress, step 400
d0fd9e9 -
Training in progress, step 200
f121092 -
initial commit
e140d53