Instructions to use bebechien/code-gemma-2-2b-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bebechien/code-gemma-2-2b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b") model = PeftModel.from_pretrained(base_model, "bebechien/code-gemma-2-2b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3688434432
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b707a150a8d758ba7577abd5f3c5f4cd29e0460a9bd27e277334e42c34e7718c
|
| 3 |
size 3688434432
|
runs/Aug30_04-42-02_2f42ece8bfae/events.out.tfevents.1724992934.2f42ece8bfae.829.0
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 sha256:659953073cf51ef7d06e5887c2938e6dbdc71b31de74deab5a6a4239a685409b
|
| 3 |
+
size 10524
|