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:
- 63250fe3f38a43396ee7cc2ad35d25a195486f5c7d268ec1ea253f34be1bc542
- Size of remote file:
- 4.16 kB
- SHA256:
- 544170fc563a06f7d0d9ecc759c4a81d3ae09af88ddf37c2b1b80e80c028468c
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