Instructions to use dafajon/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dafajon/gemma-text-to-sql with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dafajon/gemma-text-to-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 3
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1615986032
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:89e8d65b192d6b1eb3f47b5838bba285d6f75f53fb65fbe9512a1eb2f29a2af2
|
| 3 |
size 1615986032
|
runs/Aug06_11-59-28_9cead53d492f/events.out.tfevents.1786017568.9cead53d492f.821.0
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:f140a637b1faee0a7fa21130d9e3f9ce759b32668569b5687b79157c876bd5f9
|
| 3 |
+
size 125978
|