Instructions to use yophis/DRM-DeBERTa-v3-Base-paws with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yophis/DRM-DeBERTa-v3-Base-paws with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yophis/DRM-DeBERTa-v3-Base-paws")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yophis/DRM-DeBERTa-v3-Base-paws") model = AutoModelForSequenceClassification.from_pretrained("yophis/DRM-DeBERTa-v3-Base-paws", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfd7d4d949d0a8840c494892777f11b995a52625cd7a4006316e0d10d36768a0
- Size of remote file:
- 738 MB
- SHA256:
- cf1cc7e84fa89b9303ae5f590837ed3377383eee7dd2b3ec1790bd2718ff4025
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