Instructions to use hf-internal-testing/tiny-random-PvtV2Backbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PvtV2Backbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, PvtV2Backbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-PvtV2Backbone") model = PvtV2Backbone.from_pretrained("hf-internal-testing/tiny-random-PvtV2Backbone") - Notebooks
- Google Colab
- Kaggle
Update tiny models for PvtV2Backbone
#30
by hf-transformers-bot - opened
- config.json +1 -1
- model.safetensors +1 -1
config.json
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"torch_dtype": "float32",
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"transformers_version": "4.
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}
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"torch_dtype": "float32",
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"transformers_version": "4.40.0.dev0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 3108048
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e3becf1b2263dd71db41deae6ac82c93ca03a0f3b6aecb173a46211c06b9e4e
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size 3108048
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