Instructions to use mentesniker/WizardCoder-1B-V1.0-ruby-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mentesniker/WizardCoder-1B-V1.0-ruby-summarization with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WizardLM/WizardCoder-1B-V1.0") model = PeftModel.from_pretrained(base_model, "mentesniker/WizardCoder-1B-V1.0-ruby-summarization") - Notebooks
- Google Colab
- Kaggle
Upload model
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 13375576
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6eb62f20179df1afbca6adc55bb301c12dd38c74e9630723d7d2fae0ecf75995
|
| 3 |
size 13375576
|