Instructions to use Karim-Gamal/switch-base-8-finetuned-SemEval-2018-emojis-IID-Fed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Karim-Gamal/switch-base-8-finetuned-SemEval-2018-emojis-IID-Fed with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Karim-Gamal/switch-base-8-finetuned-SemEval-2018-emojis-IID-Fed") model = AutoModelForSeq2SeqLM.from_pretrained("Karim-Gamal/switch-base-8-finetuned-SemEval-2018-emojis-IID-Fed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32f49a2232037da18c54a3e13fcd7359f6cb9d564d26309514de13ec872cec8c
- Size of remote file:
- 1.24 GB
- SHA256:
- ec0dbc6a2e8f01d1d977fbe09627406eed6dc20e68f433454988cfdaf3d43699
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