Instructions to use chaley22/gemma-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chaley22/gemma-captioning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "chaley22/gemma-captioning") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 54000
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 39256456
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:44b236fd345c556e90a807324c52d3b129344e022a7850934d27a8a145f6acbf
|
| 3 |
size 39256456
|