Instructions to use rshrott/ryan_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rshrott/ryan_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rshrott/ryan_model2") 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("rshrott/ryan_model2") model = AutoModelForImageClassification.from_pretrained("rshrott/ryan_model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 8100
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343236280
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af3fea170bf17e7c3bc8fbdcae58cb6550154a59ce2aae8dd9e8526381cdb818
|
| 3 |
size 343236280
|
runs/Mar26_00-50-38_ryanserver/events.out.tfevents.1711428648.ryanserver
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 sha256:70f786610963981f434e945a894b4822e64ea2b743a857bf90c404cfd7cc9ccd
|
| 3 |
+
size 201381
|