Instructions to use cimol/9239fed7-15ba-4497-bf0f-d387d14ca95f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/9239fed7-15ba-4497-bf0f-d387d14ca95f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "cimol/9239fed7-15ba-4497-bf0f-d387d14ca95f") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 671149168
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf37d49c64a0f95fb832ae56835eedb8ea06a95cd567166e151731e74308d32f
|
| 3 |
size 671149168
|