Instructions to use EdBerg/Baha_9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Baha_9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "EdBerg/Baha_9") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 40
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 sha256:091d0d599cd5af462be18f63c967ab1d55baa61565c420c0c277707cc28f2f4d
|
| 3 |
size 335604696
|
runs/Aug14_16-07-46_224f5aaaba9d/events.out.tfevents.1723651670.224f5aaaba9d.188.0
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 sha256:1cc91750776c1faf3059faf746e9cc755ea55d615603fc2e8447f5a1b832705a
|
| 3 |
+
size 6749
|