Instructions to use jonathanjordan21/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jonathanjordan21/outputs with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "jonathanjordan21/outputs") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Training in progress, step 2000
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 8841592
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5db97e2c74ba806f66241fd90a5fff5539c7e10b4ff5a2f98a598d585e5ffdfe
|
| 3 |
size 8841592
|
runs/Nov01_08-40-13_aa318d254f20/events.out.tfevents.1730450466.aa318d254f20.1029.1
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 sha256:2e3b1b3c7c55a165ad9a8f0ee26d4331060775b2a8e7294f5dc17023a84c5d3c
|
| 3 |
+
size 50647
|