Instructions to use artcs1/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use artcs1/results with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen1.5-0.5B") model = PeftModel.from_pretrained(base_model, "artcs1/results") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 4
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1105629944
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0871ba02f1e31bc56f67b509d36d55f8b3d9ebcfc0efe2fdc90999d2dd409b55
|
| 3 |
size 1105629944
|
runs/Aug06_06-17-46_71cd17a42756/events.out.tfevents.1722925069.71cd17a42756.7605.0
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 sha256:1304e3c079a87f1a9d76c9c19c9a2939315045583f9adf5c939cbd817c4b97af
|
| 3 |
+
size 5288
|