Instructions to use alphablyat/out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alphablyat/out with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "alphablyat/out") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 600
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 22241240
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3323b97647bb81cb4858605e28ca191c60628d7667191102942109d16a5e01e6
|
| 3 |
size 22241240
|
runs/Jul24_06-55-57_00dec12a6d2d/events.out.tfevents.1721804172.00dec12a6d2d.972.1
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:d92e32513c02483fe0e37e1d9b591aa782cfd374eb166864c4116b9e17c81699
|
| 3 |
+
size 12343
|