Instructions to use yjwsb233/Train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yjwsb233/Train with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="yjwsb233/Train") 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("yjwsb233/Train") model = AutoModelForImageClassification.from_pretrained("yjwsb233/Train") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1400
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 170850837
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de673f897d5f98b2b004ceea368f05534406defd73cf2225144a368dc3a8f581
|
| 3 |
size 170850837
|