Instructions to use sudo-s/exper_batch_8_e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/exper_batch_8_e8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/exper_batch_8_e8") 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("sudo-s/exper_batch_8_e8") model = AutoModelForImageClassification.from_pretrained("sudo-s/exper_batch_8_e8") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 9200
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343689853
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de234a475c41d8e7c2a084d8d2a03738a0d60358fd866e73f5710d5555344ca4
|
| 3 |
size 343689853
|
runs/Jun26_17-35-12_bernard/events.out.tfevents.1656257724.bernard.1080870.0
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:aa191a67aef703badab06dbbb0576dea475e7cd79f25423ecc95ef0d9cb5fdae
|
| 3 |
+
size 182462
|