Instructions to use gatilin/north-micro-vision-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gatilin/north-micro-vision-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="gatilin/north-micro-vision-encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("gatilin/north-micro-vision-encoder") model = AutoModelForMultimodalLM.from_pretrained("gatilin/north-micro-vision-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download validation.json from gatilin/north-micro-vision-encoder: direct link, hf CLI and curl.
- Browser
- Download file 650 Bytes
-
https://huggingface.co/gatilin/north-micro-vision-encoder/resolve/main/validation.json
- Command line
-
hf download hf://gatilin/north-micro-vision-encoder/validation.json
-
curl -L -o validation.json https://huggingface.co/gatilin/north-micro-vision-encoder/resolve/main/validation.json
650 Bytes
| { | |
| "strict_load": true, | |
| "source_revision": "fa548d9aa62c1220bfd21fc6cfc465f1bd2a1a40", | |
| "image": "COCO128 000000000030", | |
| "device": "cpu", | |
| "dtype": "torch.bfloat16", | |
| "grid_thw": [ | |
| [ | |
| 1, | |
| 16, | |
| 16 | |
| ] | |
| ], | |
| "pixel_values_shape": [ | |
| 256, | |
| 1536 | |
| ], | |
| "vision_shape": [ | |
| 256, | |
| 1152 | |
| ], | |
| "merged_shape": [ | |
| 64, | |
| 2048 | |
| ], | |
| "deepstack_shapes": [ | |
| [ | |
| 64, | |
| 2048 | |
| ], | |
| [ | |
| 64, | |
| 2048 | |
| ], | |
| [ | |
| 64, | |
| 2048 | |
| ] | |
| ], | |
| "repeat_max_abs_error": 0.0, | |
| "finite": true, | |
| "elapsed_seconds": 25.41, | |
| "limitations": "No complete VLM forward or GPU numerical parity test." | |
| } | |