Instructions to use Pendrokar/TorchMoji with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pendrokar/TorchMoji with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pendrokar/TorchMoji")# Load model directly from transformers import AutoTokenizer, BertForMultilabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Pendrokar/TorchMoji") model = BertForMultilabelSequenceClassification.from_pretrained("Pendrokar/TorchMoji", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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Paper: [https://arxiv.org/abs/1708.00524](https://arxiv.org/abs/1708.00524)
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Dataset:
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* Mainly millions of tweets created around and before 2017 which included use of emojis
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Paper: [https://arxiv.org/abs/1708.00524](https://arxiv.org/abs/1708.00524)
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Dataset:
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* Mainly millions of tweets created around and before **-2017** which included use of emojis
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