Instructions to use thu-coai/roberta-zh-specific with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thu-coai/roberta-zh-specific with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thu-coai/roberta-zh-specific")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thu-coai/roberta-zh-specific") model = AutoModelForSequenceClassification.from_pretrained("thu-coai/roberta-zh-specific", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd698a624aee11f901c241337c97ed8ef7b9b5dbb2f96aa0b2e5f457efcd5657
- Size of remote file:
- 409 MB
- SHA256:
- 418b36f1dd2a8d8880028a9850723f0988e6da067953d52aa64506e81f109920
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