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:
# pip install -U transformers accelerate # 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
Create README.md
Browse files
README.md
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---
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license: mit
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base_model:
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- 3MPER0RR/GLM-4.6V-Flash-3MPER0RR-abliterated
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library_name: peft
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pipeline_tag: text-generation
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tags:
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- base_model:adapter:GLM-4.6V-Flash-3MPER0RR-abliterated
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- lora
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- transformers
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