Instructions to use sudo-s/new_exper3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudo-s/new_exper3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sudo-s/new_exper3") 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/new_exper3") model = AutoModelForImageClassification.from_pretrained("sudo-s/new_exper3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3800
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 sha256:1d4c35337a7dd0343adbc765e09c4b86070bbc545526d1249e124a53f0f6a691
|
| 3 |
size 343689853
|
runs/Jun30_21-42-57_bernard/events.out.tfevents.1656618188.bernard.1891493.0
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 sha256:7e07178f9ccdac587ad473d8bcc8bac07c5444768a26f4501cc768ad7f833268
|
| 3 |
+
size 80223
|