Instructions to use restful3/roberta-base-klue-ynat-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use restful3/roberta-base-klue-ynat-classification with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("restful3/roberta-base-klue-ynat-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from restful3/roberta-base-klue-ynat-classification: direct link, hf CLI and curl.
- Browser
- Download file 752 kB
-
https://huggingface.co/restful3/roberta-base-klue-ynat-classification/resolve/main/tokenizer.json
- Command line
-
hf download hf://restful3/roberta-base-klue-ynat-classification/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/restful3/roberta-base-klue-ynat-classification/resolve/main/tokenizer.json
752 kB
File too large to display, you can check the raw version instead.