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
Download dataset.zip from trongncmtw/test: direct link, hf CLI and curl.
- Browser
- Download file 6.08 MB
-
https://huggingface.co/trongncmtw/test/resolve/main/dataset.zip
- Command line
-
hf download hf://trongncmtw/test/dataset.zip
-
curl -L -o dataset.zip https://huggingface.co/trongncmtw/test/resolve/main/dataset.zip
6.08 MB
- Xet hash:
- 3cbc6153e5662017a4d4a31fc8fd3b1de7cf92532f5dd8adf4732c66cf4df684
- Size of remote file:
- 6.08 MB
- SHA256:
- 91fd7d6a368074201e34d3ac83bbafa5468f79cc743814a39bb52c0fd7222975
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