Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use Stephanie-S/deberta_v3_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Stephanie-S/deberta_v3_large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Stephanie-S/deberta_v3_large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Stephanie-S/deberta_v3_large") model = AutoModelForSequenceClassification.from_pretrained("Stephanie-S/deberta_v3_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 61f0c833e8ad233bffd7ce0d5faf66009260d65932b074cffe3cbbe1f853131e
- Size of remote file:
- 4.92 kB
- SHA256:
- c64082e6e3a8e4eae752f5b4ae9db7d204379c6b524e36ff85eb2a6b5a28a4c0
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