Instructions to use liyingjian/peft-deepseek-code-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use liyingjian/peft-deepseek-code-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-base") model = PeftModel.from_pretrained(base_model, "liyingjian/peft-deepseek-code-lora") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3000
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 30026872
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec76852102b62c3beb4e8648fe599428b1934a3e0c1b9282097b0fcee99a7cd1
|
| 3 |
size 30026872
|
runs/Jun03_17-18-20_DESKTOP-L7TAKB2/events.out.tfevents.1717406303.DESKTOP-L7TAKB2.26388.0
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:ce65e17d871ad4a01debc005e01950a361d0591f44668366f5e6cae670a98023
|
| 3 |
+
size 39332
|