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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 79 Bytes
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"[CLS]": 1,
"[MASK]": 128000,
"[PAD]": 0,
"[SEP]": 2,
"[UNK]": 3
}
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