Instructions to use champ7/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use champ7/gemma-text-to-sql with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("champ7/gemma-text-to-sql", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
adapter_config.json
CHANGED
|
@@ -33,16 +33,16 @@
|
|
| 33 |
"rank_pattern": {},
|
| 34 |
"revision": null,
|
| 35 |
"target_modules": [
|
|
|
|
|
|
|
|
|
|
| 36 |
"k_proj",
|
|
|
|
| 37 |
"fc2",
|
|
|
|
| 38 |
"down_proj",
|
| 39 |
"gate_proj",
|
| 40 |
-
"
|
| 41 |
-
"v_proj",
|
| 42 |
-
"up_proj",
|
| 43 |
-
"o_proj",
|
| 44 |
-
"q_proj",
|
| 45 |
-
"fc1"
|
| 46 |
],
|
| 47 |
"target_parameters": null,
|
| 48 |
"task_type": "CAUSAL_LM",
|
|
|
|
| 33 |
"rank_pattern": {},
|
| 34 |
"revision": null,
|
| 35 |
"target_modules": [
|
| 36 |
+
"up_proj",
|
| 37 |
+
"out_proj",
|
| 38 |
+
"o_proj",
|
| 39 |
"k_proj",
|
| 40 |
+
"fc1",
|
| 41 |
"fc2",
|
| 42 |
+
"q_proj",
|
| 43 |
"down_proj",
|
| 44 |
"gate_proj",
|
| 45 |
+
"v_proj"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 46 |
],
|
| 47 |
"target_parameters": null,
|
| 48 |
"task_type": "CAUSAL_LM",
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2762134176
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:74af6cfff91267a1dd809a312523594038b090e0b6834a91994778ead109043a
|
| 3 |
size 2762134176
|
runs/Apr15_06-36-51_c7c13e1df0c6/events.out.tfevents.1776235011.c7c13e1df0c6.1179.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e93cad1bda918580bc38d42d9273abf9442623da9cc8557937c3a8498d6130db
|
| 3 |
+
size 8329
|