Instructions to use gerbejon/webpage_labeling_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gerbejon/webpage_labeling_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="gerbejon/webpage_labeling_classifier") 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("gerbejon/webpage_labeling_classifier") model = AutoModelForImageClassification.from_pretrained("gerbejon/webpage_labeling_classifier") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 13
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343223968
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:393de4d6f8e6c072efe402d2dafd6cd2a5fbda1c5f20a0bb13b12aa223e76334
|
| 3 |
size 343223968
|