Instructions to use kevin510/SmolVLM2-256M-Video-Instruct-asl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kevin510/SmolVLM2-256M-Video-Instruct-asl with PEFT:
Task type is invalid.
- Transformers
How to use kevin510/SmolVLM2-256M-Video-Instruct-asl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kevin510/SmolVLM2-256M-Video-Instruct-asl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- adapter_config.json +5 -5
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
adapter_config.json
CHANGED
|
@@ -32,13 +32,13 @@
|
|
| 32 |
"rank_pattern": {},
|
| 33 |
"revision": null,
|
| 34 |
"target_modules": [
|
| 35 |
-
"
|
|
|
|
|
|
|
| 36 |
"o_proj",
|
| 37 |
-
"up_proj",
|
| 38 |
"v_proj",
|
| 39 |
-
"
|
| 40 |
-
"
|
| 41 |
-
"q_proj"
|
| 42 |
],
|
| 43 |
"target_parameters": null,
|
| 44 |
"task_type": null,
|
|
|
|
| 32 |
"rank_pattern": {},
|
| 33 |
"revision": null,
|
| 34 |
"target_modules": [
|
| 35 |
+
"gate_proj",
|
| 36 |
+
"q_proj",
|
| 37 |
+
"k_proj",
|
| 38 |
"o_proj",
|
|
|
|
| 39 |
"v_proj",
|
| 40 |
+
"down_proj",
|
| 41 |
+
"up_proj"
|
|
|
|
| 42 |
],
|
| 43 |
"target_parameters": null,
|
| 44 |
"task_type": null,
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 11608320
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fedda7b9aeb29a32479c25f6dc5c7387be659c744bc62b2a2b3751106d0b2ecf
|
| 3 |
size 11608320
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5905
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9a2dc04760ae508f37433bc2fb7d465310ff6225dc4b2e46375640a9b28c0884
|
| 3 |
size 5905
|