Instructions to use Delta-Vector/Pascal-Base-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Delta-Vector/Pascal-Base-Lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3-12b-it") model = PeftModel.from_pretrained(base_model, "Delta-Vector/Pascal-Base-Lora") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from Delta-Vector/Pascal-Base-Lora: direct link, hf CLI and curl.
- Browser
- Download file 70 Bytes
-
https://huggingface.co/Delta-Vector/Pascal-Base-Lora/resolve/65592cdff7ef892e2bcee73d77df3e8f8f9ad439/processor_config.json
- Command line
-
hf download hf://Delta-Vector/Pascal-Base-Lora@65592cdff7ef892e2bcee73d77df3e8f8f9ad439/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/Delta-Vector/Pascal-Base-Lora/resolve/65592cdff7ef892e2bcee73d77df3e8f8f9ad439/processor_config.json
70 Bytes
| { | |
| "image_seq_length": 256, | |
| "processor_class": "Gemma3Processor" | |
| } | |