Instructions to use rreit/codeLlama13B-StaproCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rreit/codeLlama13B-StaproCoder with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-13b-hf") model = PeftModel.from_pretrained(base_model, "rreit/codeLlama13B-StaproCoder") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 700
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 500770656
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a9226f073e4d74486ab650c6e3878041bd5780f3ea3359bb1360a5408ac09089
|
| 3 |
size 500770656
|
runs/Mar03_12-06-53_grace1/events.out.tfevents.1709464284.grace1.498559.0
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:d981384261637428a225809bee85251a58d9b87c8485dfbf1fb689b0ea801955
|
| 3 |
+
size 36438
|