Image Classification
Transformers
PyTorch
TensorBoard
swinv2
Generated from Trainer
Eval Results (legacy)
Instructions to use thean/backup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thean/backup with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="thean/backup") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("thean/backup") model = AutoModelForImageClassification.from_pretrained("thean/backup", device_map="auto") - 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 110552801
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de1a882f7d609d2f582a71952701693c82416c074edeaaf1957c6e048c47aa42
|
| 3 |
size 110552801
|
runs/Apr22_01-57-25_25733e00f35f/1682129263.6710756/events.out.tfevents.1682129263.25733e00f35f.544.14
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:867faa5af4671965d7a59efb4fdc0329131b74de0c241a05f8b18cf9697829ab
|
| 3 |
+
size 5961
|
runs/Apr22_01-57-25_25733e00f35f/events.out.tfevents.1682128678.25733e00f35f.544.12
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:abf74de7903ff88b545c3705014cfbb2ac7c86482ab9fe0f738132549219a531
|
| 3 |
+
size 15359
|