Instructions to use trongncmtw/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trongncmtw/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="trongncmtw/test") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("trongncmtw/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from trongncmtw/test: direct link, hf CLI and curl.
- Browser
- Download file 97 Bytes
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https://huggingface.co/trongncmtw/test/resolve/main/README.md
- Command line
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hf download hf://trongncmtw/test/README.md
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curl -L -o README.md https://huggingface.co/trongncmtw/test/resolve/main/README.md
97 Bytes
| license: mit | |
| language: | |
| - en | |
| pipeline_tag: image-classification | |
| library_name: transformers | |