Instructions to use FatCat87/taopanda-2_1a63cef3-a8eb-43e4-9e58-ab6c9ca06368 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FatCat87/taopanda-2_1a63cef3-a8eb-43e4-9e58-ab6c9ca06368 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "FatCat87/taopanda-2_1a63cef3-a8eb-43e4-9e58-ab6c9ca06368") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 357
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 100966336
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c4c90cfeec98f07bfe6ac14486b6724662dcd1253d2cc9211f23f49b8a303823
|
| 3 |
size 100966336
|