Instructions to use EdBerg/gleanings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/gleanings with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "EdBerg/gleanings") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 20
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 sha256:948ac28315e53623c94dbb5c99cb043bdd0bcd79c1631f79af75af0f4639a53b
|
| 3 |
size 335604696
|
runs/Aug19_18-59-21_3604129b3dc5/events.out.tfevents.1724093964.3604129b3dc5.13081.0
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:eb5fc5c1a678151de33515d35d2818d6bbaf417b9269c689b2ad22a82078dfcc
|
| 3 |
+
size 6344
|