Instructions to use charent/self_cognition_Alice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use charent/self_cognition_Alice with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-0.6B") model = PeftModel.from_pretrained(base_model, "charent/self_cognition_Alice") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -7,7 +7,11 @@ library_name: peft
|
|
| 7 |
|
| 8 |
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
|
|
|
|
|
|
|
| 10 |
|
|
|
|
|
|
|
| 11 |
|
| 12 |
## Model Details
|
| 13 |
|
|
|
|
| 7 |
|
| 8 |
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
|
| 10 |
+
**注意**
|
| 11 |
+
这是一个测试vLLM多Lora张量并行bug的Lora模型,并没有做其他任何事情。训练数据来自[modelscope/self-cognition](https://huggingface.co/datasets/modelscope/self-cognition)
|
| 12 |
|
| 13 |
+
**Note**
|
| 14 |
+
This is a Lora model that tests for vLLM multi-Lora tensor parallelism bugs and doesn't do anything else. Training data from [modelscope/self-cognition](https://huggingface.co/datasets/modelscope/self-cognition)
|
| 15 |
|
| 16 |
## Model Details
|
| 17 |
|