Instructions to use agaresd/encoder_only_deepL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use agaresd/encoder_only_deepL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="agaresd/encoder_only_deepL")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("agaresd/encoder_only_deepL") model = AutoModelForSequenceClassification.from_pretrained("agaresd/encoder_only_deepL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1386876fcbbf47d7fa0096f919063b7a8f931df1a0746c6b01d114096762ccb0
- Size of remote file:
- 17.5 MB
- SHA256:
- 6d40b7737a70e15bad5b846ed2bb0d20959390fe1c27d346888a81a642b99c77
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