Instructions to use cardiffnlp/bertweet-base-emoji with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cardiffnlp/bertweet-base-emoji with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cardiffnlp/bertweet-base-emoji")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cardiffnlp/bertweet-base-emoji") model = AutoModelForSequenceClassification.from_pretrained("cardiffnlp/bertweet-base-emoji") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c13a18cf6f2e7d1296218a7913834c82cfc09bd655664a6ec70609c5e1f4b47
- Size of remote file:
- 540 MB
- SHA256:
- 63d3aa741aa07f1ee9fc759cf47b32e5f0b2a321b8d082ba6a5b8d513e31870d
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