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:
- 4b0f58c0ea1f049f634491609238b7ce7ad4ae90194dad926fd6f2e8c64d28aa
- Size of remote file:
- 4.03 kB
- SHA256:
- b92260c02f1b78b0c94f79c0e021d85e7c1b782ca584d29ad664aa6c27dce31f
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