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 1000
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:fcade87e16ac62c07e836905248d25ca5a0ba1def6b1fa2ac6372fabd577d1bc
|
| 3 |
size 8841592
|
runs/Nov03_14-09-19_c5deb0e538a2/events.out.tfevents.1730643057.c5deb0e538a2.179.0
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:aba95e4c90cf15ebbd26de74810ac512812676d82e231bc4112d4f4e30bdb053
|
| 3 |
+
size 36562
|