Instructions to use waltertaya/llama2-code-lora-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use waltertaya/llama2-code-lora-v2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("waltertaya/llama2-code-lora-v2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Walter Onyango commited on
Training in progress, step 1569
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 639691872
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e3f57dcbf8825d878d4d3aab43944e66be0cea5d770e68605069a2a2016d3bf
|
| 3 |
size 639691872
|
runs/Dec14_12-18-58_fb820ca02ffa/events.out.tfevents.1765714783.fb820ca02ffa.1143.0
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 sha256:0442e1cef5d3a868a6aba361aca794d258b8d0f1c957742a312ff3c8a859a094
|
| 3 |
+
size 9102
|