Instructions to use hf-internal-testing/tiny-random-PvtForImageClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PvtForImageClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hf-internal-testing/tiny-random-PvtForImageClassification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-PvtForImageClassification") model = AutoModelForImageClassification.from_pretrained("hf-internal-testing/tiny-random-PvtForImageClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-PvtForImageClassification: direct link, hf CLI and curl.
- Browser
- Download file 3.38 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-PvtForImageClassification/resolve/589b37bd6941aff6dd248259f9eee3c422a41fde/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-PvtForImageClassification@589b37bd6941aff6dd248259f9eee3c422a41fde/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-PvtForImageClassification/resolve/589b37bd6941aff6dd248259f9eee3c422a41fde/pytorch_model.bin
3.38 MB
- Xet hash:
- 633d34fbd142211d3bd2ab393be7a10d68266ef26afad35af9003e2090a8b47c
- Size of remote file:
- 3.38 MB
- SHA256:
- bf74f6463e6d8308975ce91b34b44beb38cfc34b2d5183da2927ffaa6d538b52
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