Instructions to use UBC-NLP/InfoDCL-BERTweet-emoji with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UBC-NLP/InfoDCL-BERTweet-emoji with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForCL tokenizer = AutoTokenizer.from_pretrained("UBC-NLP/InfoDCL-BERTweet-emoji") model = RobertaForCL.from_pretrained("UBC-NLP/InfoDCL-BERTweet-emoji") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1400db8b1a2aacedc88261233549808820b66d21df7889a33c07f3fef93b3aa1
- Size of remote file:
- 742 MB
- SHA256:
- b9c0f3c7d2545fb9bca902634bc1be7bb0c721deae90c273d5a325f9b1e4031a
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