Instructions to use Tung177/gemma-2-2b-4bite2r256bs16-vi-sentence-simplification-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tung177/gemma-2-2b-4bite2r256bs16-vi-sentence-simplification-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-9b") model = PeftModel.from_pretrained(base_model, "Tung177/gemma-2-2b-4bite2r256bs16-vi-sentence-simplification-adapter") - Notebooks
- Google Colab
- Kaggle
Upload adapter_model.safetensors with huggingface_hub
Browse files
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3ae011e9c64cf9e7039611fed81d0cc67089ea67116d26a264b6bf05f24aae52
|
| 3 |
+
size 1728658208
|