Instructions to use luffycodes/parallel-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luffycodes/parallel-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="luffycodes/parallel-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("luffycodes/parallel-roberta-large") model = AutoModelForMaskedLM.from_pretrained("luffycodes/parallel-roberta-large") - Notebooks
- Google Colab
- Kaggle
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We provide the [weights](https://huggingface.co/luffycodes/Parallel-Roberta-Large) for the parallel attention and feedforward design for Roberta-Large.
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## Evaluation results
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We provide the [weights](https://huggingface.co/luffycodes/Parallel-Roberta-Large) for the parallel attention and feedforward design for Roberta-Large.
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To use this model, use the following [modeling_roberta.py](https://github.com/luffycodes/Parallel-Transformers-Pytorch/blob/main/paf_modeling_roberta.py) file.
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## Evaluation results
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