Instructions to use rreit/codellama13B-noautogen-StaproCoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use rreit/codellama13B-noautogen-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-noautogen-StaproCoder") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1300
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 sha256:9ae25463d968f38ac0f4ce17add2e41485b604145820c13e4b9fa37ee6b45f26
|
| 3 |
size 500770656
|
runs/Mar11_19-06-28_grace2/events.out.tfevents.1710180402.grace2.1160526.0
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 sha256:0e973b623163238263264428e323bbaece2bf45aa19b01aab498bdad7300758c
|
| 3 |
+
size 63414
|