Instructions to use Vitallyy/phi_1.5_mfr_instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Vitallyy/phi_1.5_mfr_instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-1_5") model = PeftModel.from_pretrained(base_model, "Vitallyy/phi_1.5_mfr_instruct") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 44065120
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f2016fe8e834ac12ccf1ad643079f54b662f4f5dc667675d4383d59a395e8552
|
| 3 |
size 44065120
|
runs/May08_21-42-56_be02b2e817cc/events.out.tfevents.1715204577.be02b2e817cc.11170.0
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 sha256:86b9759803654fec13cc8f185f46224ca30aa9e422bd5ac5f5021b0d560154ba
|
| 3 |
+
size 14036
|