Instructions to use ChrisLalk/German-Emotions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChrisLalk/German-Emotions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ChrisLalk/German-Emotions")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ChrisLalk/German-Emotions") model = AutoModelForSequenceClassification.from_pretrained("ChrisLalk/German-Emotions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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datasets:
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base_model: intfloat/multilingual-e5-large
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license: apache-2.0
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datasets: google-research-datasets/go_emotions
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base_model: intfloat/multilingual-e5-large
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language:
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