Instructions to use hw2942/chinese-roberta-wwm-ext-SSEC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hw2942/chinese-roberta-wwm-ext-SSEC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hw2942/chinese-roberta-wwm-ext-SSEC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hw2942/chinese-roberta-wwm-ext-SSEC") model = AutoModelForSequenceClassification.from_pretrained("hw2942/chinese-roberta-wwm-ext-SSEC") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2a8fab001c440740e7ae9c4450f179bd68f478db71102210730c6e33c86d60a6
- Size of remote file:
- 409 MB
- SHA256:
- 5f12a0aa900b543429531d00ec56ec86ab3e7e6095f08394fb59ee5b52a954b4
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