Instructions to use random-sequence/task-3-microsoft-Phi-4-mini-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use random-sequence/task-3-microsoft-Phi-4-mini-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-4-mini-instruct") model = PeftModel.from_pretrained(base_model, "random-sequence/task-3-microsoft-Phi-4-mini-instruct") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6299896
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:51571a81603d3ab6e1ae01d356e6479c8a4fcb7b15f19ab7dfc6d4387e275de2
|
| 3 |
size 6299896
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5496
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2a1259d5aae4e5a9bcbfd282c75234ca4f63b42102e43c75b5a3ff6f9fe39dda
|
| 3 |
size 5496
|