Instructions to use shibajustfor/26f86435-80d4-4b02-8a0b-3ac4a0a12e77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/26f86435-80d4-4b02-8a0b-3ac4a0a12e77 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Llama-2-13b-128k") model = PeftModel.from_pretrained(base_model, "shibajustfor/26f86435-80d4-4b02-8a0b-3ac4a0a12e77") - 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 125248064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c210092f43ac57bb58caa70d64bffd44a35374d683a1712c9defa32f48d60573
|
| 3 |
size 125248064
|