Instructions to use EdBerg/Baha_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Baha_3 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_3") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 140
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 335604696
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:358c8c85dd7ff14e4112fcc46f11904fd4e9baac2bbdb9eb55c57a506797c13a
|
| 3 |
size 335604696
|
runs/Aug03_17-58-41_17ddd3ef3ec5/events.out.tfevents.1722707925.17ddd3ef3ec5.580.0
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 sha256:1f3615be46f5f3554c8efc4e42822592013578c67a31946e56a9444a339fa7b4
|
| 3 |
+
size 8827
|