Instructions to use FacebookAI/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FacebookAI/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="FacebookAI/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("FacebookAI/roberta-base") model = AutoModelForMaskedLM.from_pretrained("FacebookAI/roberta-base") - Inference
- Notebooks
- Google Colab
- Kaggle
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tags:
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- exbert
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# RoBERTa base model
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<a href="https://huggingface.co/exbert/?model=roberta-base">
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<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
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</a>
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language:
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- en
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- fr
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- es
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tags:
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- exbert
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license: apache-2.0
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metrics:
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- accuracy
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- precision
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- recall
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base_model:
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- FacebookAI/roberta-base
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- meta-llama/Llama-3.2-3B
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library_name: transformers
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---
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# RoBERTa base model
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<a href="https://huggingface.co/exbert/?model=roberta-base">
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<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png">
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</a>
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