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
Update config.json
Browse files- config.json +1 -0
config.json
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@@ -65,4 +65,5 @@
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"transformers_version": "4.42.3",
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"type_vocab_size": 0,
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"vocab_size": 251000,
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}
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"transformers_version": "4.42.3",
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"type_vocab_size": 0,
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"vocab_size": 251000,
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"pipeline_tag": "text_classification",
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}
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