Instructions to use picket-cliff/deepl-project-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use picket-cliff/deepl-project-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="picket-cliff/deepl-project-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("picket-cliff/deepl-project-model") model = AutoModelForSequenceClassification.from_pretrained("picket-cliff/deepl-project-model") - Notebooks
- Google Colab
- Kaggle
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README.md
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### Model Sources
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- **Repository:** [More Information Needed]
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- **Demo [optional]:** https://huggingface.co/picket-cliff/deepl-project
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## Uses
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### Model Sources
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- **Demo [optional]:** https://huggingface.co/picket-cliff/deepl-project
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## Uses
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