Instructions to use Akshata777/code-llama-3-1-8b-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Akshata777/code-llama-3-1-8b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "Akshata777/code-llama-3-1-8b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1772140424
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:39893645878befc7af751f5e04e9d357c3bd66151f23beabaf186c4324f3b72e
|
| 3 |
size 1772140424
|
runs/Jul05_11-42-14_gpu16/events.out.tfevents.1783231939.gpu16.2857884.0
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:cccaa57bfe565c65331812545a85d1f9a42cd4753b97770e8c9f3a85e4a60cec
|
| 3 |
+
size 11682
|