Instructions to use Sebastianpinar/lora2-89 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sebastianpinar/lora2-89 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Sebastianpinar/lora2-89") 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("Sebastianpinar/lora2-89") model = AutoModelForImageClassification.from_pretrained("Sebastianpinar/lora2-89") - Notebooks
- Google Colab
- Kaggle
Commit ·
9da76fa
1
Parent(s): e0f2114
Training in progress, epoch 49
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1221717685
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5444f479ddfe5c099d03bcaa699e3835d9db1a5bd6eebbb7728f110ca4197ab0
|
| 3 |
size 1221717685
|