Instructions to use hf-tiny-model-private/tiny-random-EfficientFormerForImageClassificationWithTeacher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-EfficientFormerForImageClassificationWithTeacher with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hf-tiny-model-private/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-tiny-model-private/tiny-random-EfficientFormerForImageClassificationWithTeacher", device_map="auto") - Notebooks
- Google Colab
- Kaggle
hf-transformers-bot HF Staff
Upload tiny models for EfficientFormerForImageClassificationWithTeacher
b211042 Download pytorch_model.bin from hf-tiny-model-private/tiny-random-EfficientFormerForImageClassificationWithTeacher: direct link, hf CLI and curl.
- Browser
- Download file 45.8 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-EfficientFormerForImageClassificationWithTeacher/resolve/main/pytorch_model.bin
- Command line
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hf download hf://hf-tiny-model-private/tiny-random-EfficientFormerForImageClassificationWithTeacher/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-EfficientFormerForImageClassificationWithTeacher/resolve/main/pytorch_model.bin
45.8 MB
- Xet hash:
- 15a69b03e1b582fb4b0570d117ce7f3431b153749b805175f8d78a93115d8080
- Size of remote file:
- 45.8 MB
- SHA256:
- 4345ac68cf8ede6f03a3f525893bc47272c580717648440262d89d4e68eb6a05
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