Instructions to use rshrott/ryan_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rshrott/ryan_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rshrott/ryan_model") 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("rshrott/ryan_model") model = AutoModelForImageClassification.from_pretrained("rshrott/ryan_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3100
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 sha256:2de28b965ce179659235fb7d1c2f4f5d9b7e936eae7924a3a663be5e2fcc8323
|
| 3 |
size 343236280
|
runs/Mar25_21-36-05_ryanserver/events.out.tfevents.1711416971.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:fc74cb3a4781902a29720ec9415f40876b09438c300295042e8c2f3faf9d780c
|
| 3 |
+
size 80051
|