Image-Text-to-Text
PEFT
Safetensors
lora
llama-factory
coral-reef
biodiversity
fine-grained-classification
reefnet
conversational
Instructions to use ReefNet/reefnet-internvl3.5-8b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ReefNet/reefnet-internvl3.5-8b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenGVLab/InternVL3_5-8B-HF") model = PeftModel.from_pretrained(base_model, "ReefNet/reefnet-internvl3.5-8b-lora") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from ReefNet/reefnet-internvl3.5-8b-lora: direct link, hf CLI and curl.
- Browser
- Download file 1.27 kB
-
https://huggingface.co/ReefNet/reefnet-internvl3.5-8b-lora/resolve/main/processor_config.json
- Command line
-
hf download hf://ReefNet/reefnet-internvl3.5-8b-lora/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/ReefNet/reefnet-internvl3.5-8b-lora/resolve/main/processor_config.json
1.27 kB
| { | |
| "image_processor": { | |
| "crop_to_patches": false, | |
| "data_format": "channels_first", | |
| "default_to_square": true, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "GotOcr2ImageProcessorFast", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "max_patches": 12, | |
| "min_patches": 1, | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 448, | |
| "width": 448 | |
| } | |
| }, | |
| "image_seq_length": 256, | |
| "processor_class": "InternVLProcessor", | |
| "video_processor": { | |
| "data_format": "channels_first", | |
| "default_to_square": true, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "do_sample_frames": false, | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "initial_shift": true, | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "return_metadata": false, | |
| "size": { | |
| "height": 384, | |
| "width": 384 | |
| }, | |
| "video_processor_type": "InternVLVideoProcessor" | |
| } | |
| } | |