Instructions to use Madronus/MultiLabel_V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Madronus/MultiLabel_V3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Madronus/MultiLabel_V3") 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("Madronus/MultiLabel_V3") model = AutoModelForImageClassification.from_pretrained("Madronus/MultiLabel_V3") - Notebooks
- Google Colab
- Kaggle
Aron Boettcher commited on
Commit ·
313636c
1
Parent(s): 81276b1
Training in progress, step 9700
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343345581
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ecbd063e68c14814c56d94dc1acd49dda1c7c8de464c9678b33c2775f82ab2df
|
| 3 |
size 343345581
|
runs/Mar14_22-02-13_62909ffd08dc/events.out.tfevents.1678831350.62909ffd08dc.502.0
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:d4f3823a272590cf3fe2feaf2240fb4f8e498aa57d3896dc9fa6b05d9e58bf6c
|
| 3 |
+
size 188582
|