Instructions to use ktgiahieu/base-deberta-v3-large-peft-p-tuning-fbprize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ktgiahieu/base-deberta-v3-large-peft-p-tuning-fbprize with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ktgiahieu/base-deberta-v3-large-peft-p-tuning-fbprize")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ktgiahieu/base-deberta-v3-large-peft-p-tuning-fbprize") model = AutoModelForSequenceClassification.from_pretrained("ktgiahieu/base-deberta-v3-large-peft-p-tuning-fbprize", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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