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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AdoCleanCode/LAVCO-v6_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Step 4500, 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 sha256:527d433568082b5d50e43c56a4416003f0d8211df6a025c3044267b6ebd9df01
|
| 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 sha256:14379861c96524ed7ad854e8b59b419a44af1ed5d757fc32c7f8e01d402a517b
|
| 3 |
size 6301162
|