Instructions to use AdoCleanCode/LAVCO-v6_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AdoCleanCode/LAVCO-v6_v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdoCleanCode/LAVCO-v6_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Step 69000, eval_loss=N/A
Browse files- llasa/model.safetensors +1 -1
- projection.pt +1 -1
llasa/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2740113872
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cbe66e1f0f358440460d0abef4f9a8b3cc7f1eeb3eeb57a8b3d40339b4f72efa
|
| 3 |
size 2740113872
|
projection.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6301162
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:edcea2df6b320904b6d7cc4139557557dd222adbcc21a6fc0af567d8104c5ea2
|
| 3 |
size 6301162
|