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")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dnjdsxor21/roberta-klue-ssm") model = AutoModelForMaskedLM.from_pretrained("dnjdsxor21/roberta-klue-ssm") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
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Model Details
Model Description
- Developed by: [More Information Needed]
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- Language(s) (NLP): [More Information Needed]
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- Finetuned from model [optional]: [More Information Needed]
Model Sources [optional]
- Repository: [More Information Needed]
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Uses
Direct Use
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