Instructions to use EdBerg/Baha_9MB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/Baha_9MB 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_9MB") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 360
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 sha256:7cc5118ee83fa6e8ef929d2bc4230e915b6387579ca90ced40b49cbea3aecd7d
|
| 3 |
size 335604696
|
runs/Oct13_05-42-47_7d8ea27451c6/events.out.tfevents.1728798170.7d8ea27451c6.1328.0
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 sha256:856578485e0f2456bbd00db4d258b5825eca5c0bdbd0561f7f611d844e2d4214
|
| 3 |
+
size 13541
|