Instructions to use deepmind/language-perceiver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepmind/language-perceiver with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="deepmind/language-perceiver")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("deepmind/language-perceiver") model = AutoModelForMaskedLM.from_pretrained("deepmind/language-perceiver") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Evaluation results
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This model is able to achieve an average score of 81.8 on GLUE. For more details, we refer to table 3
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### BibTeX entry and citation info
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## Evaluation results
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This model is able to achieve an average score of 81.8 on GLUE. For more details, we refer to table 3 of the original paper.
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### BibTeX entry and citation info
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