Instructions to use dnjdsxor21/roberta-klue-ssm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dnjdsxor21/roberta-klue-ssm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dnjdsxor21/roberta-klue-ssm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dnjdsxor21/roberta-klue-ssm") model = AutoModelForMaskedLM.from_pretrained("dnjdsxor21/roberta-klue-ssm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from dnjdsxor21/roberta-klue-ssm: direct link, hf CLI and curl.
- Browser
- Download file 752 kB
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https://huggingface.co/dnjdsxor21/roberta-klue-ssm/resolve/main/tokenizer.json
- Command line
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hf download hf://dnjdsxor21/roberta-klue-ssm/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/dnjdsxor21/roberta-klue-ssm/resolve/main/tokenizer.json
752 kB
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