Instructions to use textattack/roberta-base-ag-news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-ag-news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-ag-news")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-ag-news") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-ag-news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update pytorch_model.bin
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:20bd5ed3cd5122a0f4744223b5d49e334ae8750b84039d6c4b4a5aa6f270d339
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size 501009162
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