Instructions to use 3MPER0RR/GLM-4.6V-Flash-Lora-adapter-3MPER0RR-abliterated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 3MPER0RR/GLM-4.6V-Flash-Lora-adapter-3MPER0RR-abliterated with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("./testllm") model = PeftModel.from_pretrained(base_model, "3MPER0RR/GLM-4.6V-Flash-Lora-adapter-3MPER0RR-abliterated") - Transformers
How to use 3MPER0RR/GLM-4.6V-Flash-Lora-adapter-3MPER0RR-abliterated with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("3MPER0RR/GLM-4.6V-Flash-Lora-adapter-3MPER0RR-abliterated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -3,7 +3,6 @@ license: mit
|
|
| 3 |
base_model:
|
| 4 |
- 3MPER0RR/GLM-4.6V-Flash-3MPER0RR-abliterated
|
| 5 |
library_name: peft
|
| 6 |
-
pipeline_tag: text-generation
|
| 7 |
tags:
|
| 8 |
- base_model:adapter:GLM-4.6V-Flash-3MPER0RR-abliterated
|
| 9 |
- lora
|
|
|
|
| 3 |
base_model:
|
| 4 |
- 3MPER0RR/GLM-4.6V-Flash-3MPER0RR-abliterated
|
| 5 |
library_name: peft
|
|
|
|
| 6 |
tags:
|
| 7 |
- base_model:adapter:GLM-4.6V-Flash-3MPER0RR-abliterated
|
| 8 |
- lora
|