Instructions to use Devarshi/Brain_Tumor_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Devarshi/Brain_Tumor_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Devarshi/Brain_Tumor_Classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Devarshi/Brain_Tumor_Classification") model = AutoModelForImageClassification.from_pretrained("Devarshi/Brain_Tumor_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 4.99, | |
| "total_flos": 1.3278811358711808e+18, | |
| "train_loss": 0.383831198531461, | |
| "train_runtime": 7560.7227, | |
| "train_samples_per_second": 7.075, | |
| "train_steps_per_second": 0.055 | |
| } |