Image Classification
Transformers
PyTorch
TensorBoard
efficientnet
Generated from Trainer
Eval Results (legacy)
Instructions to use DunnBC22/efficientnet-b5-Brain_Tumors_Image_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/efficientnet-b5-Brain_Tumors_Image_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DunnBC22/efficientnet-b5-Brain_Tumors_Image_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("DunnBC22/efficientnet-b5-Brain_Tumors_Image_Classification") model = AutoModelForImageClassification.from_pretrained("DunnBC22/efficientnet-b5-Brain_Tumors_Image_Classification") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 114377509
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fb4c6d3090b3b7c29e33c6d950933024b8c98131d56bedd5ee7744d73a5a63c7
|
| 3 |
size 114377509
|
runs/Jun10_13-40-33_Brians-Mac-mini.local/events.out.tfevents.1686422438.Brians-Mac-mini.local.1755.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:623056aa8b167a8fd6619a402ddb0ac9d698214d7c80dfe53f0c9aef2a27871f
|
| 3 |
+
size 7617
|