Instructions to use peterpeter8585/sungyoonaimodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterpeter8585/sungyoonaimodel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="peterpeter8585/sungyoonaimodel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("peterpeter8585/sungyoonaimodel") model = AutoModel.from_pretrained("peterpeter8585/sungyoonaimodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from peterpeter8585/sungyoonaimodel: direct link, hf CLI and curl.
- Browser
- Download file 9.09 MB
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https://huggingface.co/peterpeter8585/sungyoonaimodel/resolve/main/tokenizer.json
- Command line
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hf download hf://peterpeter8585/sungyoonaimodel/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/peterpeter8585/sungyoonaimodel/resolve/main/tokenizer.json
9.09 MB
File too large to display, you can check the raw version instead.