Instructions to use EdBerg/nvidia_gleanings_baha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/nvidia_gleanings_baha with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("nvidia/Mistral-NeMo-Minitron-8B-Base") model = PeftModel.from_pretrained(base_model, "EdBerg/nvidia_gleanings_baha") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 376252176
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:712540531a4d679230da1682cd40502c005070c440ea8d2355612e6802bf4338
|
| 3 |
size 376252176
|
runs/Aug25_18-14-17_4c3fadb0f112/events.out.tfevents.1724609666.4c3fadb0f112.432.0
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 sha256:65318f158825bcd3a00a8d047e8086e678eedb902a3e7e2e6c083fb944c4a542
|
| 3 |
+
size 6784
|