Instructions to use grohitraj/archive_classification2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use grohitraj/archive_classification2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llava-1.5-7b-hf-bnb-4bit") model = PeftModel.from_pretrained(base_model, "grohitraj/archive_classification2") - Notebooks
- Google Colab
- Kaggle
| { | |
| "image_token": "<image>", | |
| "num_additional_image_tokens": 1, | |
| "patch_size": 14, | |
| "processor_class": "LlavaProcessor", | |
| "vision_feature_select_strategy": "default" | |
| } | |