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 converted_model.tflite from trongncmtw/test: direct link, hf CLI and curl.
- Browser
- Download file 2.32 MB
-
https://huggingface.co/trongncmtw/test/resolve/main/converted_model.tflite
- Command line
-
hf download hf://trongncmtw/test/converted_model.tflite
-
curl -L -o converted_model.tflite https://huggingface.co/trongncmtw/test/resolve/main/converted_model.tflite
2.32 MB
- Xet hash:
- 060eac9508d5ff0c1708b0ce9e995fa4666b70995cf3640f28dbbc8aafd2b9f5
- Size of remote file:
- 2.32 MB
- SHA256:
- 0fbfad2c6ce6347d30c739832650fe0160ba1e484dd40098df8e773b81a42d69
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