Instructions to use Lil-R/UMA_LLM_Engine_V2_Improved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lil-R/UMA_LLM_Engine_V2_Improved with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Lil-R/UMA_LLM_Engine_V2_Improved", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 332316480
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:054f246e07063640494a667df996e1225b1ce47c75531851bdfdd956c33d6acd
|
| 3 |
size 332316480
|
runs/Mar04_10-47-19_ee8c2345be3f/events.out.tfevents.1741085245.ee8c2345be3f.234.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f99293fffea507422e865f496b71b36eb775aa2643293520d5f7e0e51d02d973
|
| 3 |
+
size 15466
|