Instructions to use zachwatanabe/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zachwatanabe/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="zachwatanabe/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("zachwatanabe/test") model = AutoModelForTokenClassification.from_pretrained("zachwatanabe/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zachwatanabe/test: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/zachwatanabe/test/resolve/main/training_args.bin
- Command line
-
hf download hf://zachwatanabe/test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zachwatanabe/test/resolve/main/training_args.bin
4.54 kB
- Xet hash:
- 3a95a05ef407217e2a01f15d20f973aea64ca3d45156f949e5c21094d95d5488
- Size of remote file:
- 4.54 kB
- SHA256:
- 4e3ac4b85ac2371b32649634573c7da70ef1a1e617b49da1ab6933a697031728
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