Instructions to use EdBerg/Baha_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Baha_4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b-it") model = PeftModel.from_pretrained(base_model, "EdBerg/Baha_4") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 30
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 432223744
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:00a634f14abe685a6d6d3e3dfd547680071ec1ec2b9380d19b1c7c7846b77378
|
| 3 |
size 432223744
|
runs/Aug04_00-23-55_aac984dd1e58/events.out.tfevents.1722731039.aac984dd1e58.333.0
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 sha256:478e8159324be1b3fa174b4a9908d8c138a2fd3f5f2daf480d0839cd82256920
|
| 3 |
+
size 6522
|