Instructions to use DaniilOr/multilingual_framing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaniilOr/multilingual_framing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DaniilOr/multilingual_framing")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DaniilOr/multilingual_framing") model = AutoModelForSequenceClassification.from_pretrained("DaniilOr/multilingual_framing") - Notebooks
- Google Colab
- Kaggle
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README.md
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license: mit
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library_name: transformers
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---
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license: mit
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library_name: transformers
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language:
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- en
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- ru
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- fr
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- it
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- es
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- zh
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- hi
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base_model: microsoft/deberta-v3-base
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widget:
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- text: "This post is about politics"
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---
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