Instructions to use karoladelk/bachh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karoladelk/bachh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="karoladelk/bachh") 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("karoladelk/bachh") model = AutoModelForImageClassification.from_pretrained("karoladelk/bachh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2700
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343242432
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d6ad4e0db6d17fe6150779167402f70e47830bfd929f0a0c5784a38edac8f723
|
| 3 |
size 343242432
|
runs/Apr21_23-14-53_c06b9207acf6/events.out.tfevents.1713741295.c06b9207acf6.24.0
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:db1036bf62e140d0f327c79be2dfca11c2f4e731b353e5089ce820d47032e0c7
|
| 3 |
+
size 70436
|