Instructions to use sd-concepts-library/lavko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sd-concepts-library/lavko with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sd-concepts-library/lavko", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload concept_images with huggingface_hub
Browse files- concept_images/.amlignore +6 -0
- concept_images/.amlignore.amltmp +6 -0
- concept_images/1.jpg +0 -0
- concept_images/2.jpg +0 -0
- concept_images/3.jpg +0 -0
- concept_images/4.jpg +0 -0
- concept_images/5.jpg +0 -0
concept_images/.amlignore
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
## This file was auto generated by the Azure Machine Learning Studio. Please do not remove.
|
| 2 |
+
## Read more about the .amlignore file here: https://docs.microsoft.com/azure/machine-learning/how-to-save-write-experiment-files#storage-limits-of-experiment-snapshots
|
| 3 |
+
|
| 4 |
+
.ipynb_aml_checkpoints/
|
| 5 |
+
*.amltmp
|
| 6 |
+
*.amltemp
|
concept_images/.amlignore.amltmp
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
## This file was auto generated by the Azure Machine Learning Studio. Please do not remove.
|
| 2 |
+
## Read more about the .amlignore file here: https://docs.microsoft.com/azure/machine-learning/how-to-save-write-experiment-files#storage-limits-of-experiment-snapshots
|
| 3 |
+
|
| 4 |
+
.ipynb_aml_checkpoints/
|
| 5 |
+
*.amltmp
|
| 6 |
+
*.amltemp
|
concept_images/1.jpg
ADDED
|
concept_images/2.jpg
ADDED
|
concept_images/3.jpg
ADDED
|
concept_images/4.jpg
ADDED
|
concept_images/5.jpg
ADDED
|