Instructions to use baohao/deberta-v3-base-2bit-32rank-0.1dropout with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baohao/deberta-v3-base-2bit-32rank-0.1dropout with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="baohao/deberta-v3-base-2bit-32rank-0.1dropout")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("baohao/deberta-v3-base-2bit-32rank-0.1dropout") model = AutoModelForSequenceClassification.from_pretrained("baohao/deberta-v3-base-2bit-32rank-0.1dropout", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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