Instructions to use sharkMeow/train_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sharkMeow/train_V2 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("sharkMeow/train_V2") model = AutoModel.from_pretrained("sharkMeow/train_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 40800
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 816611916
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2b503cb947817bc20abbb248e64875264c4ff39f05922af8a1454f0b8aaa2236
|
| 3 |
size 816611916
|