Instructions to use khalidalt/DeBERTa-v3-large-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use khalidalt/DeBERTa-v3-large-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="khalidalt/DeBERTa-v3-large-mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("khalidalt/DeBERTa-v3-large-mnli") model = AutoModelForSequenceClassification.from_pretrained("khalidalt/DeBERTa-v3-large-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add model
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6421f561358fc200624b17c798f3b8f9a9c9185b69867765a66b0499df6be055
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size 1740426539
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