Instructions to use IDEA-CCNL/Erlangshen-Roberta-330M-NLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Erlangshen-Roberta-330M-NLI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IDEA-CCNL/Erlangshen-Roberta-330M-NLI")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Erlangshen-Roberta-330M-NLI") model = AutoModelForSequenceClassification.from_pretrained("IDEA-CCNL/Erlangshen-Roberta-330M-NLI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model.bin with git-lfs
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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