Instructions to use facebook/regnet-y-040 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/regnet-y-040 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/regnet-y-040") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("facebook/regnet-y-040") model = AutoModelForImageClassification.from_pretrained("facebook/regnet-y-040") - Inference
- Notebooks
- Google Colab
- Kaggle
Flax Implementation https://github.com/huggingface/transformers/pull/21867
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e2a94ca56e86c8a9498880b0e154bcbd33e331c3f15a206f46ca4674050deda
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size 82852315
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