Instructions to use switlydev/Benim-Ozel-Coder-Modelim-Raw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use switlydev/Benim-Ozel-Coder-Modelim-Raw with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("switlydev/Benim-Ozel-Coder-Modelim-Raw", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Lunder commited on
Upload model trained with Unsloth
Browse filesUpload model trained with Unsloth 2x faster
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 147770496
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:131c8fa4e5e9dbd91bbb59e0a1b2013741080aae7fdab9d9f4e219b082292354
|
| 3 |
size 147770496
|