Instructions to use luohy/deberta-large-sc-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luohy/deberta-large-sc-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luohy/deberta-large-sc-3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("luohy/deberta-large-sc-3") model = AutoModelForSequenceClassification.from_pretrained("luohy/deberta-large-sc-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40b1794d5aaee03f0655bba1df678b501e82e9a55ae1b41d5abeaae5d5cb158d
- Size of remote file:
- 1.63 GB
- SHA256:
- 520e3a48e7d7b020a13c21ac5771e330cbf0679a9389bcc04e568256e05c01fc
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