Instructions to use thu-coai/roberta-zh-sensible with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thu-coai/roberta-zh-sensible with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thu-coai/roberta-zh-sensible")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thu-coai/roberta-zh-sensible") model = AutoModelForSequenceClassification.from_pretrained("thu-coai/roberta-zh-sensible", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18c984340e18a478c3baba36a5b1e42123ec12b96f59dafaeff076d466876de5
- Size of remote file:
- 409 MB
- SHA256:
- 96c0a77b5723f7845e94fb678e15d082d09e5f4b3a6630874cf595f3d1b125c1
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