Instructions to use cfcooney/eli5_mlm_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cfcooney/eli5_mlm_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="cfcooney/eli5_mlm_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cfcooney/eli5_mlm_model") model = AutoModelForMaskedLM.from_pretrained("cfcooney/eli5_mlm_model") - Notebooks
- Google Colab
- Kaggle
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README.md
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# eli5_mlm_model
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the
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It achieves the following results on the evaluation set:
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- Loss: 1.9903
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## Model description
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# eli5_mlm_model
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the [Eli5][https://huggingface.co/datasets/eli5] dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9903
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- Perplexity 7.32
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## Model description
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