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 800
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 sha256:97f5202003596a1553ac5c85fba84943b5a47ec24516cc4868721e616c8b0179
|
| 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 sha256:9ecf0e3ba8beed51f0b31e2291ee8fb2a74314e5d916551d8be247cb3ad3b811
|
| 3 |
+
size 40929
|