Instructions to use sudo-s/modeversion2_m7_e8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/modeversion2_m7_e8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/modeversion2_m7_e8") 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("sudo-s/modeversion2_m7_e8") model = AutoModelForImageClassification.from_pretrained("sudo-s/modeversion2_m7_e8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 12300
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343719153
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8e0e5db42ebea0e7c7c9220b41a29cd5ff7d59c4369139cb6710c478b258dd78
|
| 3 |
size 343719153
|
runs/Jul24_14-04-18_bernard/events.out.tfevents.1658664269.bernard.2935425.0
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:f22391ec32511dd3dd44cb7b5357e648d1c000267e65c0f0e1305f3c87305ec7
|
| 3 |
+
size 241249
|