Instructions to use sudo-s/modeversion1_m7_e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/modeversion1_m7_e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/modeversion1_m7_e4") 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/modeversion1_m7_e4") model = AutoModelForImageClassification.from_pretrained("sudo-s/modeversion1_m7_e4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3100
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 sha256:6d9633e8749e4b50a8ce4de429b17a51a17e88039f0f3080b997704492b8f076
|
| 3 |
size 343719153
|
runs/Jul23_20-26-33_bernard/events.out.tfevents.1658600798.bernard.2745449.0
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 sha256:7eff224727048d6de3fb1b06851b1e936183671ec2b06342395198b2d8a52606
|
| 3 |
+
size 67093
|