Instructions to use Warkawik/code_example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Warkawik/code_example with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "Warkawik/code_example") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1200
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 22241240
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d80a1bba3049640753c0ca50f00c3483093ebd4e2bad3644d8b2c286c9ea260
|
| 3 |
size 22241240
|
runs/Feb25_07-13-02_90f97ea4cb89/events.out.tfevents.1708845196.90f97ea4cb89.1673.0
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 sha256:9ea0694c0797370289f7a205d49ac47576dec88c03c15d02120efc73114f75e9
|
| 3 |
+
size 15890
|