Instructions to use LEIA/LEIA-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LEIA/LEIA-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LEIA/LEIA-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LEIA/LEIA-large") model = AutoModelForSequenceClassification.from_pretrained("LEIA/LEIA-large") - Notebooks
- Google Colab
- Kaggle
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@@ -21,7 +21,9 @@ Please cite the following paper if you find the model useful for your work:
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@article{aroyehun2023leia,
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title={LEIA: Linguistic Embeddings for the Identification of Affect},
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author={Aroyehun, Segun Taofeek and Malik, Lukas and Metzler, Hannah and Haimerl, Nikolas and Di Natale, Anna and Garcia, David},
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journal={
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}
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```
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@article{aroyehun2023leia,
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title={LEIA: Linguistic Embeddings for the Identification of Affect},
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author={Aroyehun, Segun Taofeek and Malik, Lukas and Metzler, Hannah and Haimerl, Nikolas and Di Natale, Anna and Garcia, David},
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journal={EPJ Data Science},
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volume={12},
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year={2023},
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publisher={Springer}
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}
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```
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