Instructions to use hf-internal-testing/tiny-random-EfficientFormerForImageClassificationWithTeacher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-EfficientFormerForImageClassificationWithTeacher with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hf-internal-testing/tiny-random-EfficientFormerForImageClassificationWithTeacher") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("hf-internal-testing/tiny-random-EfficientFormerForImageClassificationWithTeacher", device_map="auto") - Notebooks
- Google Colab
- Kaggle
hf-transformers-bot HF Staff
Update tiny models for EfficientFormerForImageClassificationWithTeacher
f86ea54 Download preprocessor_config.json from hf-internal-testing/tiny-random-EfficientFormerForImageClassificationWithTeacher: direct link, hf CLI and curl.
- Browser
- Download file 429 Bytes
-
https://huggingface.co/hf-internal-testing/tiny-random-EfficientFormerForImageClassificationWithTeacher/resolve/f86ea540d54508a2936f84de586ca352c76189d4/preprocessor_config.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-EfficientFormerForImageClassificationWithTeacher@f86ea540d54508a2936f84de586ca352c76189d4/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/hf-internal-testing/tiny-random-EfficientFormerForImageClassificationWithTeacher/resolve/f86ea540d54508a2936f84de586ca352c76189d4/preprocessor_config.json
429 Bytes
| { | |
| "crop_size": { | |
| "height": 64, | |
| "width": 64 | |
| }, | |
| "do_center_crop": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "EfficientFormerImageProcessor", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 64, | |
| "width": 64 | |
| } | |
| } | |