Instructions to use cloudqi/cqi_classification_pt_v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cloudqi/cqi_classification_pt_v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cloudqi/cqi_classification_pt_v0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cloudqi/cqi_classification_pt_v0") model = AutoModelForSequenceClassification.from_pretrained("cloudqi/cqi_classification_pt_v0") - Notebooks
- Google Colab
- Kaggle
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license: mit
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metrics:
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# Análise de Emoção em PT (Result-EN)
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- emotion-analysis
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license: mit
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Eu te amo
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metrics:
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- accuracy
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datasets:
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- nyanko7/LLaMA-65B
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# Análise de Emoção em PT (Result-EN)
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