Instructions to use TigerByteCyber/roberta-base-zeroshot-v2.0-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TigerByteCyber/roberta-base-zeroshot-v2.0-c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="TigerByteCyber/roberta-base-zeroshot-v2.0-c")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TigerByteCyber/roberta-base-zeroshot-v2.0-c") model = AutoModelForSequenceClassification.from_pretrained("TigerByteCyber/roberta-base-zeroshot-v2.0-c", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Duplicate from MoritzLaurer/roberta-base-zeroshot-v2.0-c
Co-authored-by: Moritz Borrett-Laurer (formerly Laurer) <MoritzLaurer@users.noreply.huggingface.co>5ad9681