Instructions to use keremp/opus-em-augmented with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use keremp/opus-em-augmented with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="keremp/opus-em-augmented")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("keremp/opus-em-augmented") model = AutoModelForSequenceClassification.from_pretrained("keremp/opus-em-augmented", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
End of training f3268c2
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Training in progress, epoch 3 e5ca240
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Training in progress, epoch 2 2b09bb2
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Training in progress, epoch 1 84e775c
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initial commit ee7b1e2
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