Image Classification
Transformers
PyTorch
TensorBoard
English
efficientformer
Generated from Trainer
Eval Results (legacy)
Instructions to use DunnBC22/efficientformer-l3-300-Brain_Tumors_Image_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/efficientformer-l3-300-Brain_Tumors_Image_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="DunnBC22/efficientformer-l3-300-Brain_Tumors_Image_Classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("DunnBC22/efficientformer-l3-300-Brain_Tumors_Image_Classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a5b8677a135758c68b53e158b4ed72f25d425a10beed675d82dbd4a130005e60
|
| 3 |
+
size 121910024
|