Instructions to use EdBerg/Baha_9MCa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Baha_9MCa with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "EdBerg/Baha_9MCa") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 580
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 sha256:2dbf61f1fd4fedc29b03c4c480da8f23bdc3d7e4be2889f7e6fc1b11dd2a735b
|
| 3 |
size 335604696
|
runs/Oct13_22-53-40_6743438e8831/events.out.tfevents.1728860024.6743438e8831.443.0
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 sha256:999da63939a805fcec0d679572a8fdd373e53d0d2e32f78d3371c93d360f6ecc
|
| 3 |
+
size 18185
|