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 1700
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:f46183c04d01721af10ef0d108d9f941dd7c995782899268032ba7dbf4a23fa8
|
| 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 sha256:6260f52246d9bac674283694cf0fa4207a3c44ea7ba71963c469c4f617c17dc4
|
| 3 |
+
size 24608
|