Instructions to use abhi1nandy2/Bible-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhi1nandy2/Bible-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abhi1nandy2/Bible-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("abhi1nandy2/Bible-roberta-base") model = AutoModelForMaskedLM.from_pretrained("abhi1nandy2/Bible-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Dataset - English Bible Translation Dataset (https://www.kaggle.com/oswinrh/bible)
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*NOTE:* It is `roberta-base` fine-tuned for 1 epoch on the 7 `.csv` files mentioned above, which consist of around 5.5M words.
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Dataset - English Bible Translation Dataset (https://www.kaggle.com/oswinrh/bible)
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*NOTE:* It is `roberta-base` fine-tuned (for MLM objective) for 1 epoch (using MLM objective) on the 7 `.csv` files mentioned above, which consist of around 5.5M words.
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