Instructions to use raicrits/MCC_lora_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use raicrits/MCC_lora_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3.2-11b-vision-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "raicrits/MCC_lora_model") - Notebooks
- Google Colab
- Kaggle
2500_trainer_stats
Browse files- trainer_stats.pkl +2 -2
trainer_stats.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a16458557bb059d4c82211f72a3313864c8f162024217c5fe21212ff49a1d32
|
| 3 |
+
size 381
|