Instructions to use g8a9/roberta-tiny-8l-10M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use g8a9/roberta-tiny-8l-10M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="g8a9/roberta-tiny-8l-10M")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("g8a9/roberta-tiny-8l-10M") model = AutoModelForMaskedLM.from_pretrained("g8a9/roberta-tiny-8l-10M") - Notebooks
- Google Colab
- Kaggle
update model card README.md
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README.md
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.
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- Accuracy: 0.
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## Model description
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 7.3389
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- Accuracy: 0.0516
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## Model description
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