Text Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use satpalsr/de-beginning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use satpalsr/de-beginning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="satpalsr/de-beginning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("satpalsr/de-beginning") model = AutoModelForSequenceClassification.from_pretrained("satpalsr/de-beginning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 134a4d6690eca572d2ad7669332fcb1b16845f52c9bed0ba8da52fe4370caa11
- Size of remote file:
- 738 MB
- SHA256:
- c9a66259e1ac146ed1a677bafeffb659983d6d9645bf1752d8f9e9724a5cf7c7
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