Instructions to use kernelguardian/instruct2action_llama2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kernelguardian/instruct2action_llama2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyPixel/Llama-2-7B-bf16-sharded") model = PeftModel.from_pretrained(base_model, "kernelguardian/instruct2action_llama2") - Notebooks
- Google Colab
- Kaggle
Commit ·
264e398
1
Parent(s): 0f11fe5
Training in progress, step 15
Browse files- adapter_model.bin +1 -1
adapter_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 134263757
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef95fddf589e19347a845b0b9a43505adb4947b70a312ce95e51120c2d8e8d39
|
| 3 |
size 134263757
|