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 17000, 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:dc32ff7f117b0bd851e039f71ad13af9c6d4d8d62e731e40fb28e2f32fb6b23f
|
| 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 sha256:3919dd3accb2f6cb52dbe32afd37edf816e24c253f594fd989f10ff4e9961522
|
| 3 |
size 6301162
|