Instructions to use aarabil/nli-deberta-v3-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aarabil/nli-deberta-v3-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aarabil/nli-deberta-v3-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aarabil/nli-deberta-v3-large") model = AutoModelForSequenceClassification.from_pretrained("aarabil/nli-deberta-v3-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from aarabil/nli-deberta-v3-large: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
-
https://huggingface.co/aarabil/nli-deberta-v3-large/resolve/main/tokenizer.json
- Command line
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hf download hf://aarabil/nli-deberta-v3-large/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/aarabil/nli-deberta-v3-large/resolve/main/tokenizer.json
8.65 MB
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