Instructions to use alexandrainst/da-binary-emotion-classification-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexandrainst/da-binary-emotion-classification-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alexandrainst/da-binary-emotion-classification-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alexandrainst/da-binary-emotion-classification-base") model = AutoModelForSequenceClassification.from_pretrained("alexandrainst/da-binary-emotion-classification-base") - Notebooks
- Google Colab
- Kaggle
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README.md
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```python
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from transformers import BertTokenizer, BertForSequenceClassification
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model = BertForSequenceClassification.from_pretrained("alexandrainst/da-
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tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-
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```
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## Training data
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```python
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from transformers import BertTokenizer, BertForSequenceClassification
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model = BertForSequenceClassification.from_pretrained("alexandrainst/da-binary-emotion-classification-base")
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tokenizer = BertTokenizer.from_pretrained("alexandrainst/da-binary-emotion-classification-base")
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```
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## Training data
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