Instructions to use facebook/muppet-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/muppet-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="facebook/muppet-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("facebook/muppet-roberta-large") model = AutoModelForMaskedLM.from_pretrained("facebook/muppet-roberta-large") - Notebooks
- Google Colab
- Kaggle
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This is a Massive Multi-task Pre-finetuned version of Roberta large. It was introduced in
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[this paper](https://arxiv.org/abs/2101.11038). The model improves over roberta-base in a wide range of GLUE, QA tasks (details can be found in the paper). The gains in
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- wikipedia
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# Muppet: Massive Multi-task Representations with Pre-Finetuning
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# RoBERTa large model
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This is a Massive Multi-task Pre-finetuned version of Roberta large. It was introduced in
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[this paper](https://arxiv.org/abs/2101.11038). The model improves over roberta-base in a wide range of GLUE, QA tasks (details can be found in the paper). The gains in
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