Instructions to use tiennguyenbnbk/teacher-status-van-tiny-256-0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiennguyenbnbk/teacher-status-van-tiny-256-0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="tiennguyenbnbk/teacher-status-van-tiny-256-0") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("tiennguyenbnbk/teacher-status-van-tiny-256-0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 29.68, | |
| "total_flos": 8.181902891907809e+17, | |
| "train_loss": 0.24775470698133428, | |
| "train_runtime": 3242.8553, | |
| "train_samples_per_second": 56.145, | |
| "train_steps_per_second": 0.435 | |
| } |