Instructions to use dog/timdillon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dog/timdillon with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dog/timdillon", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload G_34000.pth with huggingface_hub
Browse files- G_34000.pth +3 -0
G_34000.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:956782ce22bb3aa2e56efc8558119af0e6c00fe0409741a245b7ee6cc5dbf39d
|
| 3 |
+
size 424778277
|